Overview

Brought to you by YData

Dataset statistics

Number of variables	42
Number of observations	8760
Missing cells	36886
Missing cells (%)	10.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.2 MiB
Average record size in memory	2.9 KiB

Variable types

Text	13
Categorical	13
Numeric	16

Alerts

`AGE` is highly overall correlated with `PROPERTY_TYPE` and 2 other fields	High correlation
`AREA` is highly overall correlated with `BEDROOM_NUM` and 4 other fields	High correlation
`AmenityScore` is highly overall correlated with `FACING` and 1 other fields	High correlation
`BALCONY_NUM` is highly overall correlated with `TRANSACT_TYPE`	High correlation
`BEDROOM_NUM` is highly overall correlated with `AREA` and 4 other fields	High correlation
`BUILTUP_SQFT` is highly overall correlated with `AREA` and 6 other fields	High correlation
`CARPET_SQFT` is highly overall correlated with `AREA` and 3 other fields	High correlation
`CITY` is highly overall correlated with `city` and 1 other fields	High correlation
`FACING` is highly overall correlated with `AmenityScore` and 1 other fields	High correlation
`FLOOR_NUM` is highly overall correlated with `AmenityScore` and 1 other fields	High correlation
`FURNISH` is highly overall correlated with `TRANSACT_TYPE`	High correlation
`OWNTYPE` is highly overall correlated with `PREFERENCE` and 2 other fields	High correlation
`PREFERENCE` is highly overall correlated with `OWNTYPE` and 2 other fields	High correlation
`PRICE_SQFT` is highly overall correlated with `Price`	High correlation
`PROPERTY_TYPE` is highly overall correlated with `AGE` and 1 other fields	High correlation
`Price` is highly overall correlated with `AREA` and 4 other fields	High correlation
`SUPERAREA_UNIT` is highly overall correlated with `BUILTUP_SQFT` and 1 other fields	High correlation
`SUPERBUILTUP_SQFT` is highly overall correlated with `AREA` and 4 other fields	High correlation
`TRANSACT_TYPE` is highly overall correlated with `AGE` and 6 other fields	High correlation
`city` is highly overall correlated with `CITY` and 1 other fields	High correlation
`preference` is highly overall correlated with `OWNTYPE` and 2 other fields	High correlation
`side` is highly overall correlated with `CITY` and 1 other fields	High correlation
`society` is highly overall correlated with `BUILTUP_SQFT`	High correlation
`type` is highly overall correlated with `AGE` and 1 other fields	High correlation
`PROPERTY_TYPE` is highly imbalanced (59.7%)	Imbalance
`OWNTYPE` is highly imbalanced (62.2%)	Imbalance
`SUPERAREA_UNIT` is highly imbalanced (63.6%)	Imbalance
`type` is highly imbalanced (59.7%)	Imbalance
`BEDROOM_NUM` has 482 (5.5%) missing values	Missing
`PROP_NAME` has 631 (7.2%) missing values	Missing
`TOTAL_LANDMARK_COUNT` has 223 (2.5%) missing values	Missing
`FORMATTED_LANDMARK_DETAILS` has 223 (2.5%) missing values	Missing
`SOCIETY_NAME` has 631 (7.2%) missing values	Missing
`BUILDING_NAME` has 644 (7.4%) missing values	Missing
`CARPET_SQFT` has 6278 (71.7%) missing values	Missing
`SUPERBUILTUP_SQFT` has 3379 (38.6%) missing values	Missing
`BUILTUP_SQFT` has 7086 (80.9%) missing values	Missing
`SUPER_AREA` has 7944 (90.7%) missing values	Missing
`SUPERAREA_UNIT` has 7944 (90.7%) missing values	Missing
`society` has 1370 (15.6%) missing values	Missing
`PRICE_SQFT` is highly skewed (γ1 = 49.52797639)	Skewed
`AREA` is highly skewed (γ1 = 54.49675322)	Skewed
`CARPET_SQFT` is highly skewed (γ1 = 41.89793539)	Skewed
`SUPERBUILTUP_SQFT` is highly skewed (γ1 = 52.26555203)	Skewed
`BUILTUP_SQFT` is highly skewed (γ1 = 32.91587097)	Skewed
`SUPER_AREA` is highly skewed (γ1 = 28.29620787)	Skewed
`PROP_ID` has unique values	Unique
`FACING` has 2668 (30.5%) zeros	Zeros
`AGE` has 479 (5.5%) zeros	Zeros
`TOTAL_FLOOR` has 102 (1.2%) zeros	Zeros
`FLOOR_NUM` has 1209 (13.8%) zeros	Zeros
`AmenityScore` has 2231 (25.5%) zeros	Zeros

Reproduction

Analysis started	2025-07-24 18:40:30.597694
Analysis finished	2025-07-24 18:41:18.864289
Duration	48.27 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

PROP_ID
Text

Unique

Distinct	8760
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	564.7 KiB

Length

Max length	9
Median length	9
Mean length	8.9997717
Min length	8

Characters and Unicode

Total characters	78838
Distinct characters	36
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8760 ?
Unique (%)	100.0%

Sample

1st row	Y71306776
2nd row	B70113976
3rd row	O70374510
4th row	Q69170182
5th row	F69917588

Value	Count	Frequency (%)
k71064488	1	< 0.1%
e67621228	1	< 0.1%
y71306776	1	< 0.1%
b70113976	1	< 0.1%
o70374510	1	< 0.1%
q69170182	1	< 0.1%
f69917588	1	< 0.1%
y69917586	1	< 0.1%
u71217472	1	< 0.1%
u71215326	1	< 0.1%
Other values (8750)	8750	99.9%

Most occurring characters

Value	Count	Frequency (%)
7	10768	13.7%
0	9418	11.9%
6	8075	10.2%
1	7807	9.9%
2	6561	8.3%
8	6420	8.1%
4	6342	8.0%
9	5327	6.8%
3	4773	6.1%
5	4587	5.8%
Other values (26)	8760	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	70078	88.9%
Uppercase Letter	8760	11.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	379	4.3%
C	374	4.3%
D	368	4.2%
B	366	4.2%
O	366	4.2%
M	363	4.1%
V	351	4.0%
Q	348	4.0%
R	346	3.9%
H	346	3.9%
Other values (16)	5153	58.8%

Decimal Number

Value	Count	Frequency (%)
7	10768	15.4%
0	9418	13.4%
6	8075	11.5%
1	7807	11.1%
2	6561	9.4%
8	6420	9.2%
4	6342	9.0%
9	5327	7.6%
3	4773	6.8%
5	4587	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	70078	88.9%
Latin	8760	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	379	4.3%
C	374	4.3%
D	368	4.2%
B	366	4.2%
O	366	4.2%
M	363	4.1%
V	351	4.0%
Q	348	4.0%
R	346	3.9%
H	346	3.9%
Other values (16)	5153	58.8%

Common

Value	Count	Frequency (%)
7	10768	15.4%
0	9418	13.4%
6	8075	11.5%
1	7807	11.1%
2	6561	9.4%
8	6420	9.2%
4	6342	9.0%
9	5327	7.6%
3	4773	6.8%
5	4587	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78838	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	10768	13.7%
0	9418	11.9%
6	8075	10.2%
1	7807	9.9%
2	6561	8.3%
8	6420	8.1%
4	6342	8.0%
9	5327	6.8%
3	4773	6.1%
5	4587	5.8%
Other values (26)	8760	11.1%

PREFERENCE
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	496.3 KiB

S	7026
R	1352
P	382

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8760
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
S	7026	80.2%
R	1352	15.4%
P	382	4.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
s	7026	80.2%
r	1352	15.4%
p	382	4.4%

Most occurring characters

Value	Count	Frequency (%)
S	7026	80.2%
R	1352	15.4%
P	382	4.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8760	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	7026	80.2%
R	1352	15.4%
P	382	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8760	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	7026	80.2%
R	1352	15.4%
P	382	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	7026	80.2%
R	1352	15.4%
P	382	4.4%

DESCRIPTION
Text

Distinct	8252
Distinct (%)	94.2%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

Length

Max length	4452
Median length	1237
Mean length	577.53836
Min length	30

Characters and Unicode

Total characters	5059236
Distinct characters	94
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8049 ?
Unique (%)	91.9%

Sample

1st row	Book your 2 BHK flat in Srijan Star Swapno Puron, Amtala , Kolkata South. Having a super built-up area of 518.0 sq. ft. - 623.0 sq. ft., these flats promise an exclusive view and refreshing vibes, making them well ventilated. It is a superbly design project set amidst excellent surroundings and offers residents a world-class infrastructure. Look at its range of general amenities to premium amenities that include Car Parking, Cafeteria, 24/7 Power Backup, Senior Citizen Sitout, Carrom and what not. Now, you can buy this exclusive 2 BHK flat at a price range of Rs. 19.1 Lac - Rs. 22.67 Lac.
2nd row	Make Natural Quest your next home. This project offers 3 BHK flats in EM Bypass, Kolkata South. With a built-up area ranging from 1110.0 sq. ft. to 1121.0 sq. ft., these flats combine the finest design and amenities in Kolkata South to provide a living experience unlike any other. It is a new launch project and is unique in its perfect harmony of classic form and modern construction. The features and the amenities like Car Parking, Paved Compound, CCTV Camera Security, Pergola, Reflexology Park and many more make this residential project an epitome of modern living. Further, the society is well connected with all means of public transport. The flats are available at a price range of Rs. 1.17 Crore to Rs. 1.18 Crore.
3rd row	Book your 3 BHK apartment in Garia, Kolkata South at a price ranging from Rs. 1.22 Crore to Rs. 1.35 Crore. The Ganguly 4Sight Eminence hosts exclusively designed towers, each presenting an epitome of class and simplicity. The residential apartments have a super built-up area of 1376.0 sq. ft. to 1516.0 sq. ft. and are a new launch. With an impressive layout and a comprehensive range of amenities, like , etc., the Ganguly 4Sight Eminence leaves no stone unturned to amaze.
4th row	Dev bhumi in joka, kolkata south by ocean land developer is a residential project. Dev bhumi price ranges from 1.49 cr to 5.99 cr. It also offers car parking. The project is spread over a total area of 2 acres of land. It has 50% of open space. An accommodation of 500 units has been provided. Dev bhumi brochure is also available for easy reference. About city: Kolkata, the city of joy has a realty market scenario like no other. The addition of emerging townships in the city has affected the residential real estate market hugely. Along with this, the developing infrastructure, presence of large industries, well connectivity between major micro markets and a stable economy of the state has helped kolkata create a positive feel throughout.
5th row	Let your dream of owning a flat come true with DTC Sojon. It offers an exclusive range of 3 BHK flats in Joka, Kolkata South. They are available at price of Rs. 60 Lac - Rs. 75 Lac and have a super built-up area of 1130.0 sq. ft. to 1460.0 sq. ft. The project is a secured gated community that further has 24x7 security systems. It has round the clock power back up as well as features many more attractive facilities with a host of amenities like Senior Citizen Sitout, CCTV Camera Security, 24/7 Water Supply, Toddler Pool, Reflexology Park, etc.

Value	Count	Frequency (%)
the	32544	3.8%
is	29509	3.4%
of	25084	2.9%
a	23794	2.8%
and	19150	2.2%
this	17794	2.1%
in	16841	1.9%
to	15014	1.7%
flat	14837	1.7%
for	13342	1.5%
Other values (13538)	656178	75.9%

Most occurring characters

Value	Count	Frequency (%)
	844282	16.7%
e	392108	7.8%
a	363024	7.2%
t	335672	6.6%
o	306986	6.1%
i	293156	5.8%
s	266055	5.3%
r	250797	5.0%
n	234112	4.6%
l	196373	3.9%
Other values (84)	1576671	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3790452	74.9%
Space Separator	844425	16.7%
Other Punctuation	144535	2.9%
Decimal Number	118427	2.3%
Uppercase Letter	114134	2.3%
Control	23802	0.5%
Dash Punctuation	11769	0.2%
Close Punctuation	6088	0.1%
Open Punctuation	4991	0.1%
Math Symbol	576	< 0.1%
Other values (3)	37	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	392108	10.3%
a	363024	9.6%
t	335672	8.9%
o	306986	8.1%
i	293156	7.7%
s	266055	7.0%
r	250797	6.6%
n	234112	6.2%
l	196373	5.2%
h	136363	3.6%
Other values (16)	1015806	26.8%

Uppercase Letter

Value	Count	Frequency (%)
T	27154	23.8%
F	8828	7.7%
A	8313	7.3%
C	7186	6.3%
S	6707	5.9%
B	5837	5.1%
I	5528	4.8%
L	5321	4.7%
R	4983	4.4%
P	4951	4.3%
Other values (16)	29326	25.7%

Other Punctuation

Value	Count	Frequency (%)
.	80961	56.0%
,	49865	34.5%
/	5079	3.5%
:	3633	2.5%
&	2051	1.4%
'	1645	1.1%
?	437	0.3%
*	359	0.2%
!	230	0.2%
%	181	0.1%
Other values (4)	94	0.1%

Decimal Number

Value	Count	Frequency (%)
1	25616	21.6%
0	21272	18.0%
2	20863	17.6%
3	13236	11.2%
5	10177	8.6%
4	9548	8.1%
7	5202	4.4%
6	4642	3.9%
8	4270	3.6%
9	3601	3.0%

Math Symbol

Value	Count	Frequency (%)
+	392	68.1%
\|	140	24.3%
=	29	5.0%
~	11	1.9%
>	3	0.5%
<	1	0.2%

Space Separator

Value	Count	Frequency (%)
	844282	> 99.9%
	143	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	11626	98.8%
–	143	1.2%

Close Punctuation

Value	Count	Frequency (%)
)	6087	> 99.9%
}	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	4990	> 99.9%
{	1	< 0.1%

Control

Value	Count	Frequency (%)
	23802	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	30	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3904586	77.2%
Common	1154650	22.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	392108	10.0%
a	363024	9.3%
t	335672	8.6%
o	306986	7.9%
i	293156	7.5%
s	266055	6.8%
r	250797	6.4%
n	234112	6.0%
l	196373	5.0%
h	136363	3.5%
Other values (42)	1129940	28.9%

Common

Value	Count	Frequency (%)
	844282	73.1%
.	80961	7.0%
,	49865	4.3%
1	25616	2.2%
	23802	2.1%
0	21272	1.8%
2	20863	1.8%
3	13236	1.1%
-	11626	1.0%
5	10177	0.9%
Other values (32)	52950	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5058920	> 99.9%
Punctuation	173	< 0.1%
None	143	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	844282	16.7%
e	392108	7.8%
a	363024	7.2%
t	335672	6.6%
o	306986	6.1%
i	293156	5.8%
s	266055	5.3%
r	250797	5.0%
n	234112	4.6%
l	196373	3.9%
Other values (81)	1576355	31.2%

None

Value	Count	Frequency (%)
	143	100.0%

Punctuation

Value	Count	Frequency (%)
–	143	82.7%
’	30	17.3%

PROPERTY_TYPE
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	667.1 KiB

Residential Apartment	7518
Independent House/Villa	497
Residential Land	476
Independent/Builder Floor	269

Length

Max length	25
Median length	21
Mean length	20.964612
Min length	16

Characters and Unicode

Total characters	183650
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Residential Apartment
2nd row	Residential Apartment
3rd row	Residential Apartment
4th row	Residential Land
5th row	Residential Apartment

Common Values

Value	Count	Frequency (%)
Residential Apartment	7518	85.8%
Independent House/Villa	497	5.7%
Residential Land	476	5.4%
Independent/Builder Floor	269	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
residential	7994	45.6%
apartment	7518	42.9%
independent	497	2.8%
house/villa	497	2.8%
land	476	2.7%
independent/builder	269	1.5%
floor	269	1.5%

Most occurring characters

Value	Count	Frequency (%)
e	26570	14.5%
t	23796	13.0%
n	18286	10.0%
i	16754	9.1%
a	16485	9.0%
d	10271	5.6%
l	9526	5.2%
	8760	4.8%
s	8491	4.6%
p	8284	4.5%
Other values (13)	36427	19.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	155838	84.9%
Uppercase Letter	18286	10.0%
Space Separator	8760	4.8%
Other Punctuation	766	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	26570	17.0%
t	23796	15.3%
n	18286	11.7%
i	16754	10.8%
a	16485	10.6%
d	10271	6.6%
l	9526	6.1%
s	8491	5.4%
p	8284	5.3%
r	8056	5.2%
Other values (3)	9319	6.0%

Uppercase Letter

Value	Count	Frequency (%)
R	7994	43.7%
A	7518	41.1%
I	766	4.2%
H	497	2.7%
V	497	2.7%
L	476	2.6%
B	269	1.5%
F	269	1.5%

Space Separator

Value	Count	Frequency (%)
	8760	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	766	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	174124	94.8%
Common	9526	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	26570	15.3%
t	23796	13.7%
n	18286	10.5%
i	16754	9.6%
a	16485	9.5%
d	10271	5.9%
l	9526	5.5%
s	8491	4.9%
p	8284	4.8%
r	8056	4.6%
Other values (11)	27605	15.9%

Common

Value	Count	Frequency (%)
	8760	92.0%
/	766	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	183650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	26570	14.5%
t	23796	13.0%
n	18286	10.0%
i	16754	9.1%
a	16485	9.0%
d	10271	5.6%
l	9526	5.2%
	8760	4.8%
s	8491	4.6%
p	8284	4.5%
Other values (13)	36427	19.8%

CITY
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	596.1 KiB

Kolkata South	3784
Kolkata East	2872
Kolkata North	1789
Kolkata West	240
Kolkata Central	75

Length

Max length	15
Median length	13
Mean length	12.661872
Min length	12

Characters and Unicode

Total characters	110918
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kolkata South
2nd row	Kolkata South
3rd row	Kolkata South
4th row	Kolkata South
5th row	Kolkata South

Common Values

Value	Count	Frequency (%)
Kolkata South	3784	43.2%
Kolkata East	2872	32.8%
Kolkata North	1789	20.4%
Kolkata West	240	2.7%
Kolkata Central	75	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kolkata	8760	50.0%
south	3784	21.6%
east	2872	16.4%
north	1789	10.2%
west	240	1.4%
central	75	0.4%

Most occurring characters

Value	Count	Frequency (%)
a	20467	18.5%
t	17520	15.8%
o	14333	12.9%
l	8835	8.0%
K	8760	7.9%
k	8760	7.9%
	8760	7.9%
h	5573	5.0%
S	3784	3.4%
u	3784	3.4%
Other values (8)	10342	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84638	76.3%
Uppercase Letter	17520	15.8%
Space Separator	8760	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	20467	24.2%
t	17520	20.7%
o	14333	16.9%
l	8835	10.4%
k	8760	10.3%
h	5573	6.6%
u	3784	4.5%
s	3112	3.7%
r	1864	2.2%
e	315	0.4%

Uppercase Letter

Value	Count	Frequency (%)
K	8760	50.0%
S	3784	21.6%
E	2872	16.4%
N	1789	10.2%
W	240	1.4%
C	75	0.4%

Space Separator

Value	Count	Frequency (%)
	8760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102158	92.1%
Common	8760	7.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	20467	20.0%
t	17520	17.1%
o	14333	14.0%
l	8835	8.6%
K	8760	8.6%
k	8760	8.6%
h	5573	5.5%
S	3784	3.7%
u	3784	3.7%
s	3112	3.0%
Other values (7)	7230	7.1%

Common

Value	Count	Frequency (%)
	8760	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	20467	18.5%
t	17520	15.8%
o	14333	12.9%
l	8835	8.0%
K	8760	7.9%
k	8760	7.9%
	8760	7.9%
h	5573	5.0%
S	3784	3.4%
u	3784	3.4%
Other values (8)	10342	9.3%

TRANSACT_TYPE
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	513.4 KiB

1.0	5371
0.0	1736
2.0	1653

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	26280
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	5371	61.3%
0.0	1736	19.8%
2.0	1653	18.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	5371	61.3%
0.0	1736	19.8%
2.0	1653	18.9%

Most occurring characters

Value	Count	Frequency (%)
0	10496	39.9%
.	8760	33.3%
1	5371	20.4%
2	1653	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17520	66.7%
Other Punctuation	8760	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10496	59.9%
1	5371	30.7%
2	1653	9.4%

Other Punctuation

Value	Count	Frequency (%)
.	8760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26280	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10496	39.9%
.	8760	33.3%
1	5371	20.4%
2	1653	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26280	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10496	39.9%
.	8760	33.3%
1	5371	20.4%
2	1653	6.3%

OWNTYPE
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	496.3 KiB

1	6849
0	1734
3	108
2	57
4	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8760
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	6849	78.2%
0	1734	19.8%
3	108	1.2%
2	57	0.7%
4	12	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	6849	78.2%
0	1734	19.8%
3	108	1.2%
2	57	0.7%
4	12	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	6849	78.2%
0	1734	19.8%
3	108	1.2%
2	57	0.7%
4	12	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8760	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6849	78.2%
0	1734	19.8%
3	108	1.2%
2	57	0.7%
4	12	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	8760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6849	78.2%
0	1734	19.8%
3	108	1.2%
2	57	0.7%
4	12	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6849	78.2%
0	1734	19.8%
3	108	1.2%
2	57	0.7%
4	12	0.1%

BEDROOM_NUM
Real number (ℝ)

High correlation Missing

Distinct	17
Distinct (%)	0.2%
Missing	482
Missing (%)	5.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.6891761

Minimum	1
Maximum	39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	39
Range	38
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1120204
Coefficient of variation (CV)	0.41351713
Kurtosis	176.89027
Mean	2.6891761
Median Absolute Deviation (MAD)	1
Skewness	7.542423
Sum	22261
Variance	1.2365894
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
3	3631	41.4%
2	3159	36.1%
4	802	9.2%
1	480	5.5%
5	113	1.3%
6	31	0.4%
7	17	0.2%
8	14	0.2%
9	12	0.1%
10	7	0.1%
Other values (7)	12	0.1%
(Missing)	482	5.5%

Value	Count	Frequency (%)
1	480	5.5%
2	3159	36.1%
3	3631	41.4%
4	802	9.2%
5	113	1.3%
6	31	0.4%
7	17	0.2%
8	14	0.2%
9	12	0.1%
10	7	0.1%

Value	Count	Frequency (%)
39	1	< 0.1%
24	1	< 0.1%
22	1	< 0.1%
16	2	< 0.1%
14	1	< 0.1%
12	5	0.1%
11	1	< 0.1%
10	7	0.1%
9	12	0.1%
8	14	0.2%

FURNISH
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	496.3 KiB

2	4362
0	2366
4	1175
1	857

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8760
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
2	4362	49.8%
0	2366	27.0%
4	1175	13.4%
1	857	9.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	4362	49.8%
0	2366	27.0%
4	1175	13.4%
1	857	9.8%

Most occurring characters

Value	Count	Frequency (%)
2	4362	49.8%
0	2366	27.0%
4	1175	13.4%
1	857	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8760	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	4362	49.8%
0	2366	27.0%
4	1175	13.4%
1	857	9.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	8760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	4362	49.8%
0	2366	27.0%
4	1175	13.4%
1	857	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4362	49.8%
0	2366	27.0%
4	1175	13.4%
1	857	9.8%

FACING
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3139269

Minimum	0
Maximum	8
Zeros	2668
Zeros (%)	30.5%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	7
95-th percentile	8
Maximum	8
Range	8
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	2.9504161
Coefficient of variation (CV)	0.89030812
Kurtosis	-1.5184784
Mean	3.3139269
Median Absolute Deviation (MAD)	3
Skewness	0.25130842
Sum	29030
Variance	8.704955
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	2668	30.5%
7	1811	20.7%
2	1260	14.4%
5	723	8.3%
3	686	7.8%
8	595	6.8%
1	450	5.1%
6	341	3.9%
4	226	2.6%

Value	Count	Frequency (%)
0	2668	30.5%
1	450	5.1%
2	1260	14.4%
3	686	7.8%
4	226	2.6%
5	723	8.3%
6	341	3.9%
7	1811	20.7%
8	595	6.8%

Value	Count	Frequency (%)
8	595	6.8%
7	1811	20.7%
6	341	3.9%
5	723	8.3%
4	226	2.6%
3	686	7.8%
2	1260	14.4%
1	450	5.1%
0	2668	30.5%

AGE
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.9170091

Minimum	0
Maximum	6
Zeros	479
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	5
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.054533
Coefficient of variation (CV)	0.70432861
Kurtosis	-1.5529758
Mean	2.9170091
Median Absolute Deviation (MAD)	1
Skewness	0.27081967
Sum	25553
Variance	4.2211058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	3039	34.7%
5	2149	24.5%
6	1205	13.8%
2	1125	12.8%
3	763	8.7%
0	479	5.5%

Value	Count	Frequency (%)
0	479	5.5%
1	3039	34.7%
2	1125	12.8%
3	763	8.7%
5	2149	24.5%
6	1205	13.8%

Value	Count	Frequency (%)
6	1205	13.8%
5	2149	24.5%
3	763	8.7%
2	1125	12.8%
1	3039	34.7%
0	479	5.5%

TOTAL_FLOOR
Real number (ℝ)

Zeros

Distinct	45
Distinct (%)	0.5%
Missing	51
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	9.9962108

Minimum	0
Maximum	81
Zeros	102
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4
median	5
Q3	15
95-th percentile	28
Maximum	81
Range	81
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.7942782
Coefficient of variation (CV)	0.87976118
Kurtosis	1.950118
Mean	9.9962108
Median Absolute Deviation (MAD)	2
Skewness	1.4176796
Sum	87057
Variance	77.339329
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
4	2294	26.2%
3	1005	11.5%
5	825	9.4%
20	329	3.8%
12	317	3.6%
2	294	3.4%
14	278	3.2%
11	245	2.8%
7	231	2.6%
6	228	2.6%
Other values (35)	2663	30.4%

Value	Count	Frequency (%)
0	102	1.2%
1	122	1.4%
2	294	3.4%
3	1005	11.5%
4	2294	26.2%
5	825	9.4%
6	228	2.6%
7	231	2.6%
8	81	0.9%
9	89	1.0%

Value	Count	Frequency (%)
81	1	< 0.1%
62	1	< 0.1%
46	6	0.1%
45	51	0.6%
42	3	< 0.1%
40	2	< 0.1%
38	4	< 0.1%
37	2	< 0.1%
36	1	< 0.1%
35	85	1.0%

FEATURES
Text

Distinct	2962
Distinct (%)	33.8%
Missing	0
Missing (%)	0.0%
Memory size	652.3 KiB

Length

Max length	97
Median length	81
Mean length	19.239612
Min length	1

Characters and Unicode

Total characters	168539
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2440 ?
Unique (%)	27.9%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	2146	24.5%
23,24,5,17,6,19,20,21	418	4.8%
5,17,21	137	1.6%
23	114	1.3%
21	111	1.3%
23,24,26,5	97	1.1%
24	91	1.0%
23,5,19,21	63	0.7%
23,24,17,6,19,20,21	61	0.7%
23,24,5,17,19,20,21	58	0.7%
Other values (2951)	5464	62.4%

Most occurring characters

Value	Count	Frequency (%)
,	56123	33.3%
2	27290	16.2%
1	20206	12.0%
4	16785	10.0%
3	13457	8.0%
0	9121	5.4%
9	6899	4.1%
5	6627	3.9%
6	5468	3.2%
7	5246	3.1%
Other values (3)	1317	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	112368	66.7%
Other Punctuation	56123	33.3%
Uppercase Letter	48	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	27290	24.3%
1	20206	18.0%
4	16785	14.9%
3	13457	12.0%
0	9121	8.1%
9	6899	6.1%
5	6627	5.9%
6	5468	4.9%
7	5246	4.7%
8	1269	1.1%

Uppercase Letter

Value	Count	Frequency (%)
F	35	72.9%
P	13	27.1%

Other Punctuation

Value	Count	Frequency (%)
,	56123	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	168491	> 99.9%
Latin	48	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	56123	33.3%
2	27290	16.2%
1	20206	12.0%
4	16785	10.0%
3	13457	8.0%
0	9121	5.4%
9	6899	4.1%
5	6627	3.9%
6	5468	3.2%
7	5246	3.1%

Latin

Value	Count	Frequency (%)
F	35	72.9%
P	13	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	168539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	56123	33.3%
2	27290	16.2%
1	20206	12.0%
4	16785	10.0%
3	13457	8.0%
0	9121	5.4%
9	6899	4.1%
5	6627	3.9%
6	5468	3.2%
7	5246	3.1%
Other values (3)	1317	0.8%

PROP_NAME
Text

Missing

Distinct	2666
Distinct (%)	32.8%
Missing	631
Missing (%)	7.2%
Memory size	595.0 KiB

Length

Max length	49
Median length	40
Mean length	15.447657
Min length	2

Characters and Unicode

Total characters	125574
Distinct characters	71
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1758 ?
Unique (%)	21.6%

Sample

1st row	Srijan Star Swapno Puron
2nd row	Natural Quest
3rd row	Ganguly 4Sight Eminence
4th row	Dev Bhumi
5th row	DTC Sojon

Value	Count	Frequency (%)
on	820	4.3%
request	783	4.1%
apartment	697	3.6%
city	386	2.0%
the	300	1.6%
merlin	287	1.5%
siddha	250	1.3%
new	228	1.2%
garden	178	0.9%
heights	164	0.9%
Other values (2242)	15142	78.7%

Most occurring characters

Value	Count	Frequency (%)
a	13086	10.4%
	11595	9.2%
e	10040	8.0%
n	8012	6.4%
i	7298	5.8%
r	6587	5.2%
t	6517	5.2%
o	4697	3.7%
s	4103	3.3%
l	3807	3.0%
Other values (61)	49832	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	90992	72.5%
Uppercase Letter	21422	17.1%
Space Separator	11595	9.2%
Decimal Number	1077	0.9%
Other Punctuation	288	0.2%
Open Punctuation	78	0.1%
Close Punctuation	78	0.1%
Dash Punctuation	44	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13086	14.4%
e	10040	11.0%
n	8012	8.8%
i	7298	8.0%
r	6587	7.2%
t	6517	7.2%
o	4697	5.2%
s	4103	4.5%
l	3807	4.2%
h	3472	3.8%
Other values (16)	23373	25.7%

Uppercase Letter

Value	Count	Frequency (%)
S	2872	13.4%
A	2478	11.6%
R	1645	7.7%
P	1233	5.8%
C	1189	5.6%
T	1179	5.5%
N	1170	5.5%
O	1117	5.2%
M	1040	4.9%
G	973	4.5%
Other values (16)	6526	30.5%

Decimal Number

Value	Count	Frequency (%)
2	292	27.1%
1	289	26.8%
0	174	16.2%
7	72	6.7%
5	63	5.8%
6	49	4.5%
3	41	3.8%
4	34	3.2%
9	33	3.1%
8	30	2.8%

Other Punctuation

Value	Count	Frequency (%)
,	145	50.3%
.	115	39.9%
/	23	8.0%
'	4	1.4%
&	1	0.3%

Space Separator

Value	Count	Frequency (%)
	11595	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	78	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	78	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	112414	89.5%
Common	13160	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13086	11.6%
e	10040	8.9%
n	8012	7.1%
i	7298	6.5%
r	6587	5.9%
t	6517	5.8%
o	4697	4.2%
s	4103	3.6%
l	3807	3.4%
h	3472	3.1%
Other values (42)	44795	39.8%

Common

Value	Count	Frequency (%)
	11595	88.1%
2	292	2.2%
1	289	2.2%
0	174	1.3%
,	145	1.1%
.	115	0.9%
(	78	0.6%
)	78	0.6%
7	72	0.5%
5	63	0.5%
Other values (9)	259	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125574	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13086	10.4%
	11595	9.2%
e	10040	8.0%
n	8012	6.4%
i	7298	5.8%
r	6587	5.2%
t	6517	5.2%
o	4697	3.7%
s	4103	3.3%
l	3807	3.0%
Other values (61)	49832	39.7%

PRICE_SQFT
Real number (ℝ)

High correlation Skewed

Distinct	3530
Distinct (%)	40.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	120963.04

Minimum	0
Maximum	1.2 × 10⁸
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	2555.5
median	4621.5
Q3	7154.25
95-th percentile	14331.5
Maximum	1.2 × 10⁸
Range	1.2 × 10⁸
Interquartile range (IQR)	4598.75

Descriptive statistics

Standard deviation	1614599.9
Coefficient of variation (CV)	13.347878
Kurtosis	3494.0612
Mean	120963.04
Median Absolute Deviation (MAD)	2329
Skewness	49.527976
Sum	1.0596362 × 10⁹
Variance	2.6069327 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4500	109	1.2%
16	104	1.2%
4000	102	1.2%
15	93	1.1%
18	90	1.0%
20	86	1.0%
17	81	0.9%
12	81	0.9%
3500	71	0.8%
5000	67	0.8%
Other values (3520)	7876	89.9%

Value	Count	Frequency (%)
0	4	< 0.1%
1	25	0.3%
2	30	0.3%
3	27	0.3%
4	26	0.3%
5	34	0.4%
6	25	0.3%
7	31	0.4%
8	21	0.2%
9	22	0.3%

Value	Count	Frequency (%)
120000000	1	< 0.1%
23125000	1	< 0.1%
20000000	2	< 0.1%
18303571	1	< 0.1%
18000000	1	< 0.1%
15000000	1	< 0.1%
14545454	1	< 0.1%
14285714	1	< 0.1%
14000000	1	< 0.1%
13750000	1	< 0.1%

MAP_DETAILS
Text

Distinct	2820
Distinct (%)	32.2%
Missing	0
Missing (%)	0.0%
Memory size	928.5 KiB

Length

Max length	79
Median length	68
Mean length	51.52089
Min length	39

Characters and Unicode

Total characters	451323
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1826 ?
Unique (%)	20.8%

Sample

1st row	{'LATITUDE': '22.364447', 'LONGITUDE': '88.274642'}
2nd row	{'LATITUDE': '22.518795', 'LONGITUDE': '88.388439'}
3rd row	{'LATITUDE': '22.5137646', 'LONGITUDE': '88.3666797'}
4th row	{'LATITUDE': '22.45383', 'LONGITUDE': '88.249572'}
5th row	{'LATITUDE': '22.44213', 'LONGITUDE': '88.29551'}

Value	Count	Frequency (%)
latitude	8760	25.0%
longitude	8760	25.0%
22.6006912	418	1.2%
88.4694535	418	1.2%
88.35469	160	0.5%
22.536025	160	0.5%
88.2978736068	148	0.4%
22.4439029807	148	0.4%
22.5	130	0.4%
88.35	129	0.4%
Other values (5550)	15809	45.1%

Most occurring characters

Value	Count	Frequency (%)
'	70080	15.5%
2	26969	6.0%
8	26712	5.9%
	26280	5.8%
T	26280	5.8%
E	17520	3.9%
L	17520	3.9%
:	17520	3.9%
D	17520	3.9%
U	17520	3.9%
Other values (17)	187402	41.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	148920	33.0%
Decimal Number	144723	32.1%
Other Punctuation	113880	25.2%
Space Separator	26280	5.8%
Open Punctuation	8760	1.9%
Close Punctuation	8760	1.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	26969	18.6%
8	26712	18.5%
4	15299	10.6%
5	12967	9.0%
3	12852	8.9%
6	12584	8.7%
9	10117	7.0%
1	9131	6.3%
7	9090	6.3%
0	9002	6.2%

Uppercase Letter

Value	Count	Frequency (%)
T	26280	17.6%
E	17520	11.8%
L	17520	11.8%
D	17520	11.8%
U	17520	11.8%
I	17520	11.8%
A	8760	5.9%
O	8760	5.9%
G	8760	5.9%
N	8760	5.9%

Other Punctuation

Value	Count	Frequency (%)
'	70080	61.5%
:	17520	15.4%
.	17520	15.4%
,	8760	7.7%

Space Separator

Value	Count	Frequency (%)
	26280	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	8760	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	8760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	302403	67.0%
Latin	148920	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
'	70080	23.2%
2	26969	8.9%
8	26712	8.8%
	26280	8.7%
:	17520	5.8%
.	17520	5.8%
4	15299	5.1%
5	12967	4.3%
3	12852	4.2%
6	12584	4.2%
Other values (7)	63620	21.0%

Latin

Value	Count	Frequency (%)
T	26280	17.6%
E	17520	11.8%
L	17520	11.8%
D	17520	11.8%
U	17520	11.8%
I	17520	11.8%
A	8760	5.9%
O	8760	5.9%
G	8760	5.9%
N	8760	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	451323	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	70080	15.5%
2	26969	6.0%
8	26712	5.9%
	26280	5.8%
T	26280	5.8%
E	17520	3.9%
L	17520	3.9%
:	17520	3.9%
D	17520	3.9%
U	17520	3.9%
Other values (17)	187402	41.5%

AMENITIES
Text

Distinct	3462
Distinct (%)	39.5%
Missing	0
Missing (%)	0.0%
Memory size	680.5 KiB

Length

Max length	98
Median length	86
Mean length	22.529452
Min length	1

Characters and Unicode

Total characters	197358
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2831 ?
Unique (%)	32.3%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	2032	23.2%
5,17,20,21,23,24,6,19,101,102	171	2.0%
5,17,21,101,102	129	1.5%
103	119	1.4%
23	107	1.2%
5,17,20,21,23,24,6,19	98	1.1%
5,23,24,26	97	1.1%
5,17,20,21,23,24,6,19,101,102,103	83	0.9%
21	76	0.9%
24	66	0.8%
Other values (3452)	5782	66.0%

Most occurring characters

Value	Count	Frequency (%)
,	63115	32.0%
2	30381	15.4%
1	30050	15.2%
4	16787	8.5%
0	16391	8.3%
3	15030	7.6%
9	6890	3.5%
5	6729	3.4%
6	5480	2.8%
7	5238	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	134243	68.0%
Other Punctuation	63115	32.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	30381	22.6%
1	30050	22.4%
4	16787	12.5%
0	16391	12.2%
3	15030	11.2%
9	6890	5.1%
5	6729	5.0%
6	5480	4.1%
7	5238	3.9%
8	1267	0.9%

Other Punctuation

Value	Count	Frequency (%)
,	63115	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	197358	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	63115	32.0%
2	30381	15.4%
1	30050	15.2%
4	16787	8.5%
0	16391	8.3%
3	15030	7.6%
9	6890	3.5%
5	6729	3.4%
6	5480	2.8%
7	5238	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197358	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	63115	32.0%
2	30381	15.4%
1	30050	15.2%
4	16787	8.5%
0	16391	8.3%
3	15030	7.6%
9	6890	3.5%
5	6729	3.4%
6	5480	2.8%
7	5238	2.7%

AREA
Real number (ℝ)

High correlation Skewed

Distinct	1824
Distinct (%)	20.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2744.8582

Minimum	1
Maximum	4356000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	1
5-th percentile	540
Q1	856
median	1135
Q3	1500
95-th percentile	2800
Maximum	4356000
Range	4355999
Interquartile range (IQR)	644

Descriptive statistics

Standard deviation	64477.04
Coefficient of variation (CV)	23.490117
Kurtosis	3200.9018
Mean	2744.8582
Median Absolute Deviation (MAD)	310
Skewness	54.496753
Sum	24044958
Variance	4.1572886 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	134	1.5%
1200	118	1.3%
1250	118	1.3%
850	113	1.3%
900	109	1.2%
800	105	1.2%
1100	102	1.2%
750	84	1.0%
1440	78	0.9%
1500	69	0.8%
Other values (1814)	7730	88.2%

Value	Count	Frequency (%)
1	3	< 0.1%
2	2	< 0.1%
3	3	< 0.1%
4	1	< 0.1%
7	1	< 0.1%
10	1	< 0.1%
14	1	< 0.1%
40	1	< 0.1%
75	2	< 0.1%
80	1	< 0.1%

Value	Count	Frequency (%)
4356000	1	< 0.1%
2994000	1	< 0.1%
2581176	1	< 0.1%
900000	1	< 0.1%
871199	1	< 0.1%
519119	1	< 0.1%
100799	1	< 0.1%
52271	1	< 0.1%
45360	1	< 0.1%
40319	1	< 0.1%

PROP_HEADING
Text

Distinct	1492
Distinct (%)	17.0%
Missing	0
Missing (%)	0.0%
Memory size	702.3 KiB

Length

Max length	89
Median length	73
Mean length	25.079452
Min length	13

Characters and Unicode

Total characters	219696
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	890 ?
Unique (%)	10.2%

Sample

1st row	2 BHK Flat in Amtala
2nd row	3 BHK Flat in EM Bypass
3rd row	3 BHK Flat in Garia
4th row	Residential land / Plot in Joka
5th row	3 BHK Flat in Joka

Value	Count	Frequency (%)
in	8760	17.5%
bhk	7782	15.6%
flat	7518	15.0%
3	3763	7.5%
2	3295	6.6%
new	1545	3.1%
town	1476	3.0%
4	802	1.6%
rajarhat	660	1.3%
1	637	1.3%
Other values (657)	13746	27.5%

Most occurring characters

Value	Count	Frequency (%)
	41224	18.8%
a	21478	9.8%
n	15045	6.8%
i	12463	5.7%
l	11934	5.4%
t	11449	5.2%
B	10146	4.6%
H	8424	3.8%
K	8349	3.8%
e	7909	3.6%
Other values (55)	71275	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	121410	55.3%
Uppercase Letter	47660	21.7%
Space Separator	41224	18.8%
Decimal Number	8878	4.0%
Other Punctuation	522	0.2%
Dash Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	21478	17.7%
n	15045	12.4%
i	12463	10.3%
l	11934	9.8%
t	11449	9.4%
e	7909	6.5%
r	7333	6.0%
o	7057	5.8%
d	3895	3.2%
u	3582	3.0%
Other values (16)	19265	15.9%

Uppercase Letter

Value	Count	Frequency (%)
B	10146	21.3%
H	8424	17.7%
K	8349	17.5%
F	7793	16.4%
T	2181	4.6%
N	2103	4.4%
R	1573	3.3%
A	1316	2.8%
P	1151	2.4%
M	872	1.8%
Other values (14)	3752	7.9%

Decimal Number

Value	Count	Frequency (%)
3	3771	42.5%
2	3367	37.9%
4	805	9.1%
1	713	8.0%
5	120	1.4%
6	34	0.4%
7	22	0.2%
9	16	0.2%
0	16	0.2%
8	14	0.2%

Other Punctuation

Value	Count	Frequency (%)
/	482	92.3%
,	23	4.4%
.	17	3.3%

Space Separator

Value	Count	Frequency (%)
	41224	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	169070	77.0%
Common	50626	23.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	21478	12.7%
n	15045	8.9%
i	12463	7.4%
l	11934	7.1%
t	11449	6.8%
B	10146	6.0%
H	8424	5.0%
K	8349	4.9%
e	7909	4.7%
F	7793	4.6%
Other values (40)	54080	32.0%

Common

Value	Count	Frequency (%)
	41224	81.4%
3	3771	7.4%
2	3367	6.7%
4	805	1.6%
1	713	1.4%
/	482	1.0%
5	120	0.2%
6	34	0.1%
,	23	< 0.1%
7	22	< 0.1%
Other values (5)	65	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	41224	18.8%
a	21478	9.8%
n	15045	6.8%
i	12463	5.7%
l	11934	5.4%
t	11449	5.2%
B	10146	4.6%
H	8424	3.8%
K	8349	3.8%
e	7909	3.6%
Other values (55)	71275	32.4%

SECONDARY_TAGS
Text

Distinct	110
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	794.7 KiB

Length

Max length	111
Median length	107
Mean length	35.877511
Min length	2

Characters and Unicode

Total characters	314287
Distinct characters	36
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	0.4%

Sample

1st row	['UNDER CONSTRUCTION', 'NEW BOOKING', 'RERA \| HIRA']
2nd row	['UNDER CONSTRUCTION', 'NEW LAUNCH', 'NEW BOOKING', 'RERA \| HIRA']
3rd row	['UNDER CONSTRUCTION', 'NEW LAUNCH', 'NEW BOOKING', 'RERA \| HIRA']
4th row	['READY TO MOVE', 'NEW BOOKING']
5th row	['UNDER CONSTRUCTION', 'NEW BOOKING']

Value	Count	Frequency (%)
resale	5371	12.1%
ready	4803	10.8%
to	4803	10.8%
move	4803	10.8%
	2571	5.8%
rera	2267	5.1%
hira	2267	5.1%
construction	2223	5.0%
under	2223	5.0%
new	2066	4.6%
Other values (40)	11132	25.0%

Most occurring characters

Value	Count	Frequency (%)
'	40746	13.0%
	35769	11.4%
E	32395	10.3%
R	25271	8.0%
O	21288	6.8%
A	16446	5.2%
N	16015	5.1%
,	11917	3.8%
T	10421	3.3%
S	10332	3.3%
Other values (26)	93687	29.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	205743	65.5%
Other Punctuation	52663	16.8%
Space Separator	35769	11.4%
Open Punctuation	8760	2.8%
Close Punctuation	8760	2.8%
Math Symbol	2267	0.7%
Decimal Number	294	0.1%
Dash Punctuation	31	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	32395	15.7%
R	25271	12.3%
O	21288	10.3%
A	16446	8.0%
N	16015	7.8%
T	10421	5.1%
S	10332	5.0%
I	9566	4.6%
D	8729	4.2%
L	7715	3.7%
Other values (13)	47565	23.1%

Decimal Number

Value	Count	Frequency (%)
2	159	54.1%
3	78	26.5%
4	27	9.2%
5	24	8.2%
0	5	1.7%
6	1	0.3%

Other Punctuation

Value	Count	Frequency (%)
'	40746	77.4%
,	11917	22.6%

Space Separator

Value	Count	Frequency (%)
	35769	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	8760	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	8760	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2267	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	31	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	205743	65.5%
Common	108544	34.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	32395	15.7%
R	25271	12.3%
O	21288	10.3%
A	16446	8.0%
N	16015	7.8%
T	10421	5.1%
S	10332	5.0%
I	9566	4.6%
D	8729	4.2%
L	7715	3.7%
Other values (13)	47565	23.1%

Common

Value	Count	Frequency (%)
'	40746	37.5%
	35769	33.0%
,	11917	11.0%
[	8760	8.1%
]	8760	8.1%
\|	2267	2.1%
2	159	0.1%
3	78	0.1%
-	31	< 0.1%
4	27	< 0.1%
Other values (3)	30	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	314287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	40746	13.0%
	35769	11.4%
E	32395	10.3%
R	25271	8.0%
O	21288	6.8%
A	16446	5.2%
N	16015	5.1%
,	11917	3.8%
T	10421	3.3%
S	10332	3.3%
Other values (26)	93687	29.8%

TOTAL_LANDMARK_COUNT
Real number (ℝ)

Missing

Distinct	50
Distinct (%)	0.6%
Missing	223
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	27.516926

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	12
median	25
Q3	47
95-th percentile	50
Maximum	50
Range	49
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	16.582042
Coefficient of variation (CV)	0.60261245
Kurtosis	-1.5629779
Mean	27.516926
Median Absolute Deviation (MAD)	15
Skewness	0.13967375
Sum	234912
Variance	274.96413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	1245	14.2%
50	1150	13.1%
49	740	8.4%
8	545	6.2%
11	317	3.6%
35	302	3.4%
12	256	2.9%
41	217	2.5%
9	215	2.5%
10	214	2.4%
Other values (40)	3336	38.1%
(Missing)	223	2.5%

Value	Count	Frequency (%)
1	71	0.8%
2	33	0.4%
3	154	1.8%
4	47	0.5%
5	62	0.7%
6	78	0.9%
7	181	2.1%
8	545	6.2%
9	215	2.5%
10	214	2.4%

Value	Count	Frequency (%)
50	1150	13.1%
49	740	8.4%
48	196	2.2%
47	80	0.9%
46	80	0.9%
45	56	0.6%
44	34	0.4%
43	64	0.7%
42	123	1.4%
41	217	2.5%

FORMATTED_LANDMARK_DETAILS
Text

Missing

Distinct	1459
Distinct (%)	17.1%
Missing	223
Missing (%)	2.5%
Memory size	7.2 MiB

Length

Max length	1649
Median length	1245
Mean length	824.22537
Min length	2

Characters and Unicode

Total characters	7036412
Distinct characters	59
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	558 ?
Unique (%)	6.5%

Sample

1st row	[{'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]
2nd row	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '2 Shoppings', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '2 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}]
3rd row	[{'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}]
4th row	[{'category': 'MetroStation', 'text': '2 Metro Stations', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Connectivity', 'text': '1 Connectivity', 'className': 'hw', 'icon': 'https://static.99acres.com/universalapp/img/hw.png'}, {'category': 'Education', 'text': '6 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '4 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]
5th row	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Connectivity', 'text': '1 Connectivity', 'className': 'hw', 'icon': 'https://static.99acres.com/universalapp/img/hw.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}, {'category': 'Hotel', 'text': '1 Hotels', 'className': 'htl', 'icon': 'https://static.99acres.com/universalapp/img/htl.png'}, {'category': 'GolfCourse', 'text': '1 Golf Course', 'className': 'golf', 'icon': 'https://static.99acres.com/universalapp/img/golf.png'}, {'category': 'Stadium', 'text': '1 Stadium', 'className': 'stdm', 'icon': 'https://static.99acres.com/universalapp/img/stdm.png'}]

Value	Count	Frequency (%)
category	51048	10.7%
text	51048	10.7%
icon	51048	10.7%
classname	51048	10.7%
1	26486	5.6%
hospital	10058	2.1%
2	10039	2.1%
atm	9822	2.1%
https://static.99acres.com/universalapp/img/hsptl.png	8197	1.7%
hsptl	8197	1.7%
Other values (132)	199308	41.8%

Most occurring characters

Value	Count	Frequency (%)
'	816768	11.6%
t	485614	6.9%
	467762	6.6%
a	451056	6.4%
s	436670	6.2%
c	364346	5.2%
e	340897	4.8%
i	301970	4.3%
p	290672	4.1%
o	255490	3.6%
Other values (49)	2825167	40.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4406276	62.6%
Other Punctuation	1676075	23.8%
Space Separator	467762	6.6%
Uppercase Letter	204954	2.9%
Decimal Number	157642	2.2%
Open Punctuation	59585	0.8%
Close Punctuation	59585	0.8%
Connector Punctuation	4533	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	485614	11.0%
a	451056	10.2%
s	436670	9.9%
c	364346	8.3%
e	340897	7.7%
i	301970	6.9%
p	290672	6.6%
o	255490	5.8%
l	222783	5.1%
n	212208	4.8%
Other values (13)	1044570	23.7%

Uppercase Letter

Value	Count	Frequency (%)
N	51048	24.9%
M	24546	12.0%
S	18460	9.0%
H	17906	8.7%
P	17836	8.7%
A	16600	8.1%
R	13296	6.5%
T	9066	4.4%
B	8730	4.3%
C	8650	4.2%
Other values (5)	18816	9.2%

Decimal Number

Value	Count	Frequency (%)
9	102558	65.1%
1	30400	19.3%
2	11520	7.3%
3	4604	2.9%
4	2833	1.8%
5	1736	1.1%
6	1271	0.8%
7	1133	0.7%
0	872	0.6%
8	715	0.5%

Other Punctuation

Value	Count	Frequency (%)
'	816768	48.7%
:	255240	15.2%
/	255240	15.2%
,	195683	11.7%
.	153144	9.1%

Open Punctuation

Value	Count	Frequency (%)
{	51048	85.7%
[	8537	14.3%

Close Punctuation

Value	Count	Frequency (%)
}	51048	85.7%
]	8537	14.3%

Space Separator

Value	Count	Frequency (%)
	467762	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4533	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4611230	65.5%
Common	2425182	34.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	485614	10.5%
a	451056	9.8%
s	436670	9.5%
c	364346	7.9%
e	340897	7.4%
i	301970	6.5%
p	290672	6.3%
o	255490	5.5%
l	222783	4.8%
n	212208	4.6%
Other values (28)	1249524	27.1%

Common

Value	Count	Frequency (%)
'	816768	33.7%
	467762	19.3%
:	255240	10.5%
/	255240	10.5%
,	195683	8.1%
.	153144	6.3%
9	102558	4.2%
{	51048	2.1%
}	51048	2.1%
1	30400	1.3%
Other values (11)	46291	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7036412	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	816768	11.6%
t	485614	6.9%
	467762	6.6%
a	451056	6.4%
s	436670	6.2%
c	364346	5.2%
e	340897	4.8%
i	301970	4.3%
p	290672	4.1%
o	255490	3.6%
Other values (49)	2825167	40.2%

SOCIETY_NAME
Text

Missing

Distinct	2667
Distinct (%)	32.8%
Missing	631
Missing (%)	7.2%
Memory size	595.0 KiB

Length

Max length	49
Median length	40
Mean length	15.447657
Min length	2

Characters and Unicode

Total characters	125574
Distinct characters	71
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1762 ?
Unique (%)	21.7%

Sample

1st row	Srijan Star Swapno Puron
2nd row	Natural Quest
3rd row	Ganguly 4Sight Eminence
4th row	Dev Bhumi
5th row	DTC Sojon

Value	Count	Frequency (%)
on	820	4.3%
request	783	4.1%
apartment	697	3.6%
city	386	2.0%
the	300	1.6%
merlin	287	1.5%
siddha	250	1.3%
new	228	1.2%
garden	178	0.9%
heights	164	0.9%
Other values (2242)	15142	78.7%

Most occurring characters

Value	Count	Frequency (%)
a	13086	10.4%
	11595	9.2%
e	10042	8.0%
n	8014	6.4%
i	7302	5.8%
r	6585	5.2%
t	6519	5.2%
o	4702	3.7%
s	4103	3.3%
l	3807	3.0%
Other values (61)	49819	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91014	72.5%
Uppercase Letter	21400	17.0%
Space Separator	11595	9.2%
Decimal Number	1077	0.9%
Other Punctuation	288	0.2%
Open Punctuation	78	0.1%
Close Punctuation	78	0.1%
Dash Punctuation	44	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13086	14.4%
e	10042	11.0%
n	8014	8.8%
i	7302	8.0%
r	6585	7.2%
t	6519	7.2%
o	4702	5.2%
s	4103	4.5%
l	3807	4.2%
h	3472	3.8%
Other values (16)	23382	25.7%

Uppercase Letter

Value	Count	Frequency (%)
S	2872	13.4%
A	2478	11.6%
R	1647	7.7%
P	1233	5.8%
C	1188	5.6%
T	1177	5.5%
N	1168	5.5%
O	1112	5.2%
M	1040	4.9%
G	971	4.5%
Other values (16)	6514	30.4%

Decimal Number

Value	Count	Frequency (%)
2	292	27.1%
1	289	26.8%
0	174	16.2%
7	72	6.7%
5	63	5.8%
6	49	4.5%
3	41	3.8%
4	34	3.2%
9	33	3.1%
8	30	2.8%

Other Punctuation

Value	Count	Frequency (%)
,	145	50.3%
.	115	39.9%
/	23	8.0%
'	4	1.4%
&	1	0.3%

Space Separator

Value	Count	Frequency (%)
	11595	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	78	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	78	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	112414	89.5%
Common	13160	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13086	11.6%
e	10042	8.9%
n	8014	7.1%
i	7302	6.5%
r	6585	5.9%
t	6519	5.8%
o	4702	4.2%
s	4103	3.6%
l	3807	3.4%
h	3472	3.1%
Other values (42)	44782	39.8%

Common

Value	Count	Frequency (%)
	11595	88.1%
2	292	2.2%
1	289	2.2%
0	174	1.3%
,	145	1.1%
.	115	0.9%
(	78	0.6%
)	78	0.6%
7	72	0.5%
5	63	0.5%
Other values (9)	259	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125574	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13086	10.4%
	11595	9.2%
e	10042	8.0%
n	8014	6.4%
i	7302	5.8%
r	6585	5.2%
t	6519	5.2%
o	4702	3.7%
s	4103	3.3%
l	3807	3.0%
Other values (61)	49819	39.7%

BUILDING_NAME
Text

Missing

Distinct	2662
Distinct (%)	32.8%
Missing	644
Missing (%)	7.4%
Memory size	594.5 KiB

Length

Max length	49
Median length	40
Mean length	15.451331
Min length	2

Characters and Unicode

Total characters	125403
Distinct characters	71
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1757 ?
Unique (%)	21.6%

Sample

1st row	Srijan Star Swapno Puron
2nd row	Natural Quest
3rd row	Ganguly 4Sight Eminence
4th row	Dev Bhumi
5th row	DTC Sojon

Value	Count	Frequency (%)
on	815	4.2%
request	778	4.1%
apartment	696	3.6%
city	386	2.0%
the	300	1.6%
merlin	287	1.5%
siddha	250	1.3%
new	227	1.2%
garden	178	0.9%
heights	164	0.9%
Other values (2239)	15125	78.8%

Most occurring characters

Value	Count	Frequency (%)
a	13076	10.4%
	11578	9.2%
e	10025	8.0%
n	8004	6.4%
i	7296	5.8%
r	6579	5.2%
t	6507	5.2%
o	4692	3.7%
s	4097	3.3%
l	3807	3.0%
Other values (61)	49742	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	90896	72.5%
Uppercase Letter	21373	17.0%
Space Separator	11578	9.2%
Decimal Number	1070	0.9%
Other Punctuation	286	0.2%
Open Punctuation	78	0.1%
Close Punctuation	78	0.1%
Dash Punctuation	44	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13076	14.4%
e	10025	11.0%
n	8004	8.8%
i	7296	8.0%
r	6579	7.2%
t	6507	7.2%
o	4692	5.2%
s	4097	4.5%
l	3807	4.2%
h	3469	3.8%
Other values (16)	23344	25.7%

Uppercase Letter

Value	Count	Frequency (%)
S	2867	13.4%
A	2476	11.6%
R	1642	7.7%
P	1232	5.8%
C	1187	5.6%
T	1176	5.5%
N	1166	5.5%
O	1107	5.2%
M	1039	4.9%
G	971	4.5%
Other values (16)	6510	30.5%

Decimal Number

Value	Count	Frequency (%)
2	292	27.3%
1	286	26.7%
0	171	16.0%
7	72	6.7%
5	63	5.9%
6	49	4.6%
3	41	3.8%
4	34	3.2%
9	33	3.1%
8	29	2.7%

Other Punctuation

Value	Count	Frequency (%)
,	145	50.7%
.	113	39.5%
/	23	8.0%
'	4	1.4%
&	1	0.3%

Space Separator

Value	Count	Frequency (%)
	11578	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	78	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	78	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	112269	89.5%
Common	13134	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13076	11.6%
e	10025	8.9%
n	8004	7.1%
i	7296	6.5%
r	6579	5.9%
t	6507	5.8%
o	4692	4.2%
s	4097	3.6%
l	3807	3.4%
h	3469	3.1%
Other values (42)	44717	39.8%

Common

Value	Count	Frequency (%)
	11578	88.2%
2	292	2.2%
1	286	2.2%
0	171	1.3%
,	145	1.1%
.	113	0.9%
(	78	0.6%
)	78	0.6%
7	72	0.5%
5	63	0.5%
Other values (9)	258	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125403	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13076	10.4%
	11578	9.2%
e	10025	8.0%
n	8004	6.4%
i	7296	5.8%
r	6579	5.2%
t	6507	5.2%
o	4692	3.7%
s	4097	3.3%
l	3807	3.0%
Other values (61)	49742	39.7%

location
Text

Distinct	2220
Distinct (%)	25.3%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Length

Max length	266
Median length	204
Mean length	118.71986
Min length	108

Characters and Unicode

Total characters	1039986
Distinct characters	76
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1746 ?
Unique (%)	19.9%

Sample

1st row	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '8005', 'LOCALITY_NAME': 'Amtala ', 'ADDRESS': None}
2nd row	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '603', 'LOCALITY_NAME': 'EM Bypass', 'ADDRESS': None}
3rd row	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '651', 'LOCALITY_NAME': 'Garia', 'ADDRESS': None}
4th row	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '844', 'LOCALITY_NAME': 'Joka', 'ADDRESS': None}
5th row	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '844', 'LOCALITY_NAME': 'Joka', 'ADDRESS': None}

Value	Count	Frequency (%)
kolkata	8892	8.3%
city	8788	8.2%
address	8761	8.2%
locality_name	8760	8.2%
locality_id	8760	8.2%
city_name	8760	8.2%
none	6376	6.0%
south	3807	3.6%
27	3787	3.5%
east	2892	2.7%
Other values (2639)	37119	34.8%

Most occurring characters

Value	Count	Frequency (%)
'	162446	15.6%
	97942	9.4%
A	45725	4.4%
I	43917	4.2%
:	43839	4.2%
a	39364	3.8%
T	37494	3.6%
,	35813	3.4%
C	35781	3.4%
L	35395	3.4%
Other values (66)	462270	44.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	403563	38.8%
Other Punctuation	242629	23.3%
Lowercase Letter	196907	18.9%
Space Separator	97942	9.4%
Decimal Number	54930	5.3%
Connector Punctuation	26280	2.5%
Open Punctuation	8782	0.8%
Close Punctuation	8782	0.8%
Dash Punctuation	171	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	45725	11.3%
I	43917	10.9%
T	37494	9.3%
C	35781	8.9%
L	35395	8.8%
Y	35047	8.7%
E	29674	7.4%
N	28506	7.1%
D	26891	6.7%
S	22858	5.7%
Other values (16)	62275	15.4%

Lowercase Letter

Value	Count	Frequency (%)
a	39364	20.0%
o	27846	14.1%
t	22331	11.3%
e	13951	7.1%
n	13041	6.6%
l	12881	6.5%
k	11252	5.7%
r	10816	5.5%
h	9146	4.6%
u	7599	3.9%
Other values (16)	28680	14.6%

Decimal Number

Value	Count	Frequency (%)
2	11355	20.7%
8	6495	11.8%
1	5599	10.2%
7	5548	10.1%
5	5126	9.3%
4	4744	8.6%
6	4578	8.3%
0	4210	7.7%
3	3691	6.7%
9	3584	6.5%

Other Punctuation

Value	Count	Frequency (%)
'	162446	67.0%
:	43839	18.1%
,	35813	14.8%
.	334	0.1%
/	189	0.1%
"	4	< 0.1%
&	4	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
{	8760	99.7%
(	22	0.3%

Close Punctuation

Value	Count	Frequency (%)
}	8760	99.7%
)	22	0.3%

Space Separator

Value	Count	Frequency (%)
	97942	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	26280	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	171	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	600470	57.7%
Common	439516	42.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	45725	7.6%
I	43917	7.3%
a	39364	6.6%
T	37494	6.2%
C	35781	6.0%
L	35395	5.9%
Y	35047	5.8%
E	29674	4.9%
N	28506	4.7%
o	27846	4.6%
Other values (42)	241721	40.3%

Common

Value	Count	Frequency (%)
'	162446	37.0%
	97942	22.3%
:	43839	10.0%
,	35813	8.1%
_	26280	6.0%
2	11355	2.6%
{	8760	2.0%
}	8760	2.0%
8	6495	1.5%
1	5599	1.3%
Other values (14)	32227	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1039986	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	162446	15.6%
	97942	9.4%
A	45725	4.4%
I	43917	4.2%
:	43839	4.2%
a	39364	3.8%
T	37494	3.6%
,	35813	3.4%
C	35781	3.4%
L	35395	3.4%
Other values (66)	462270	44.4%

BALCONY_NUM
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	513.4 KiB

1.0	4792
0.0	2450
2.0	1223
3.0	228
4.0	67

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	26280
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	4792	54.7%
0.0	2450	28.0%
2.0	1223	14.0%
3.0	228	2.6%
4.0	67	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4792	54.7%
0.0	2450	28.0%
2.0	1223	14.0%
3.0	228	2.6%
4.0	67	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	11210	42.7%
.	8760	33.3%
1	4792	18.2%
2	1223	4.7%
3	228	0.9%
4	67	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17520	66.7%
Other Punctuation	8760	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11210	64.0%
1	4792	27.4%
2	1223	7.0%
3	228	1.3%
4	67	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	8760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	26280	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11210	42.7%
.	8760	33.3%
1	4792	18.2%
2	1223	4.7%
3	228	0.9%
4	67	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26280	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11210	42.7%
.	8760	33.3%
1	4792	18.2%
2	1223	4.7%
3	228	0.9%
4	67	0.3%

FLOOR_NUM
Real number (ℝ)

High correlation Zeros

Distinct	39
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.7670091

Minimum	-2
Maximum	40
Zeros	1209
Zeros (%)	13.8%
Negative	3
Negative (%)	< 0.1%
Memory size	68.6 KiB

Quantile statistics

Minimum	-2
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	14
Maximum	40
Range	42
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.8611203
Coefficient of variation (CV)	1.2904456
Kurtosis	8.0097633
Mean	3.7670091
Median Absolute Deviation (MAD)	1
Skewness	2.5304147
Sum	32999
Variance	23.63049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
1	2505	28.6%
2	1225	14.0%
0	1209	13.8%
3	1065	12.2%
4	721	8.2%
5	293	3.3%
10	213	2.4%
7	202	2.3%
8	202	2.3%
6	180	2.1%
Other values (29)	945	10.8%

Value	Count	Frequency (%)
-2	2	< 0.1%
-1	1	< 0.1%
0	1209	13.8%
1	2505	28.6%
2	1225	14.0%
3	1065	12.2%
4	721	8.2%
5	293	3.3%
6	180	2.1%
7	202	2.3%

Value	Count	Frequency (%)
40	1	< 0.1%
38	3	< 0.1%
36	1	< 0.1%
34	7	0.1%
33	3	< 0.1%
32	3	< 0.1%
31	2	< 0.1%
30	13	0.1%
28	7	0.1%
27	6	0.1%

CARPET_SQFT
Real number (ℝ)

High correlation Missing Skewed

Distinct	742
Distinct (%)	29.9%
Missing	6278
Missing (%)	71.7%
Infinite	0
Infinite (%)	0.0%
Mean	3733.2555

Minimum	0
Maximum	4356000.2
Zeros	11
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	400.75
Q1	700
median	900
Q3	1200
95-th percentile	2000
Maximum	4356000.2
Range	4356000.2
Interquartile range (IQR)	500

Descriptive statistics

Standard deviation	94069.615
Coefficient of variation (CV)	25.197744
Kurtosis	1877.3662
Mean	3733.2555
Median Absolute Deviation (MAD)	247.5
Skewness	41.897935
Sum	9265940.2
Variance	8.8490925 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
900	66	0.8%
700	61	0.7%
1000	60	0.7%
600	54	0.6%
1200	52	0.6%
800	50	0.6%
750	47	0.5%
1100	46	0.5%
650	42	0.5%
950	38	0.4%
Other values (732)	1966	22.4%
(Missing)	6278	71.7%

Value	Count	Frequency (%)
0	11	0.1%
1.5	1	< 0.1%
7.5	1	< 0.1%
75	1	< 0.1%
100	2	< 0.1%
120	2	< 0.1%
130	3	< 0.1%
132	1	< 0.1%
140	2	< 0.1%
150	4	< 0.1%

Value	Count	Frequency (%)
4356000.216	1	< 0.1%
1504799.988	1	< 0.1%
863999.9931	1	< 0.1%
8250	1	< 0.1%
6210	1	< 0.1%
6000	2	< 0.1%
5619	2	< 0.1%
5500	1	< 0.1%
5350	1	< 0.1%
4999	1	< 0.1%

SUPERBUILTUP_SQFT
Real number (ℝ)

High correlation Missing Skewed

Distinct	1319
Distinct (%)	24.5%
Missing	3379
Missing (%)	38.6%
Infinite	0
Infinite (%)	0.0%
Mean	2323.7817

Minimum	0
Maximum	2994000
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	625
Q1	890
median	1140
Q3	1476
95-th percentile	2490
Maximum	2994000
Range	2994000
Interquartile range (IQR)	586

Descriptive statistics

Standard deviation	53863.76
Coefficient of variation (CV)	23.179354
Kurtosis	2745.5508
Mean	2323.7817
Median Absolute Deviation (MAD)	284
Skewness	52.265552
Sum	12504270
Variance	2.9013046 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1250	92	1.1%
1000	88	1.0%
850	84	1.0%
900	78	0.9%
1100	71	0.8%
800	68	0.8%
750	57	0.7%
1200	56	0.6%
1150	53	0.6%
1450	46	0.5%
Other values (1309)	4688	53.5%
(Missing)	3379	38.6%

Value	Count	Frequency (%)
0	1	< 0.1%
130	1	< 0.1%
150	1	< 0.1%
255	1	< 0.1%
280	1	< 0.1%
300	3	< 0.1%
310	1	< 0.1%
345	1	< 0.1%
350	1	< 0.1%
360	2	< 0.1%

Value	Count	Frequency (%)
2994000	1	< 0.1%
2581176	1	< 0.1%
12956	1	< 0.1%
11000	1	< 0.1%
9238	1	< 0.1%
8500	1	< 0.1%
8000	1	< 0.1%
7780	1	< 0.1%
7143	1	< 0.1%
7014	1	< 0.1%

BUILTUP_SQFT
Real number (ℝ)

High correlation Missing Skewed

Distinct	674
Distinct (%)	40.3%
Missing	7086
Missing (%)	80.9%
Infinite	0
Infinite (%)	0.0%
Mean	3094.5194

Minimum	0
Maximum	2160000
Zeros	13
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	483.9
Q1	750
median	1000
Q3	1366.5
95-th percentile	2445.7
Maximum	2160000
Range	2160000
Interquartile range (IQR)	616.5

Descriptive statistics

Standard deviation	58977.349
Coefficient of variation (CV)	19.058645
Kurtosis	1136.7921
Mean	3094.5194
Median Absolute Deviation (MAD)	292
Skewness	32.915871
Sum	5180225.6
Variance	3.4783277 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
700	38	0.4%
1000	33	0.4%
1100	29	0.3%
900	26	0.3%
800	25	0.3%
754	23	0.3%
1500	20	0.2%
750	19	0.2%
1600	17	0.2%
1400	17	0.2%
Other values (664)	1427	16.3%
(Missing)	7086	80.9%

Value	Count	Frequency (%)
0	13	0.1%
100	2	< 0.1%
120	2	< 0.1%
144	1	< 0.1%
150	3	< 0.1%
160	2	< 0.1%
180	2	< 0.1%
200	1	< 0.1%
204	1	< 0.1%
250	3	< 0.1%

Value	Count	Frequency (%)
2159999.983	1	< 0.1%
1079999.991	1	< 0.1%
11000	1	< 0.1%
9500	1	< 0.1%
8000	1	< 0.1%
7624	1	< 0.1%
7293	1	< 0.1%
6800	1	< 0.1%
6694	1	< 0.1%
6025	1	< 0.1%

SUPER_AREA
Real number (ℝ)

Missing Skewed

Distinct	189
Distinct (%)	23.2%
Missing	7944
Missing (%)	90.7%
Infinite	0
Infinite (%)	0.0%
Mean	2502.6993

Minimum	1
Maximum	900000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2.24
Q1	160
median	1080
Q3	1800
95-th percentile	3600
Maximum	900000
Range	899999
Interquartile range (IQR)	1640

Descriptive statistics

Standard deviation	31558.603
Coefficient of variation (CV)	12.609826
Kurtosis	805.53433
Mean	2502.6993
Median Absolute Deviation (MAD)	810
Skewness	28.296208
Sum	2042202.6
Variance	9.959454 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1440	69	0.8%
2160	49	0.6%
720	39	0.4%
3	38	0.4%
1800	36	0.4%
2	23	0.3%
1200	23	0.3%
1500	22	0.3%
300	19	0.2%
2880	18	0.2%
Other values (179)	480	5.5%
(Missing)	7944	90.7%

Value	Count	Frequency (%)
1	4	< 0.1%
1.01	2	< 0.1%
1.5	3	< 0.1%
2	23	0.3%
2.01	1	< 0.1%
2.24	14	0.2%
2.25	13	0.1%
2.4	1	< 0.1%
2.5	9	0.1%
2.75	1	< 0.1%

Value	Count	Frequency (%)
900000	1	< 0.1%
45360	1	< 0.1%
36000	1	< 0.1%
20000	1	< 0.1%
16000	1	< 0.1%
12000	2	< 0.1%
10800	1	< 0.1%
10080	1	< 0.1%
10000	1	< 0.1%
8750	1	< 0.1%

SUPERAREA_UNIT
Categorical

High correlation Imbalance Missing

Distinct	6
Distinct (%)	0.7%
Missing	7944
Missing (%)	90.7%
Memory size	546.8 KiB

sq.ft.	629
kottah	162
sq.m.	19
sq.yards	3
bigha	2

Length

Max length	8
Median length	6
Mean length	5.9828431
Min length	5

Characters and Unicode

Total characters	4882
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	sq.ft.
2nd row	sq.ft.
3rd row	sq.ft.
4th row	kottah
5th row	sq.ft.

Common Values

Value	Count	Frequency (%)
sq.ft.	629	7.2%
kottah	162	1.8%
sq.m.	19	0.2%
sq.yards	3	< 0.1%
bigha	2	< 0.1%
chataks	1	< 0.1%
(Missing)	7944	90.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sq.ft	629	77.1%
kottah	162	19.9%
sq.m	19	2.3%
sq.yards	3	0.4%
bigha	2	0.2%
chataks	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
.	1299	26.6%
t	954	19.5%
s	655	13.4%
q	651	13.3%
f	629	12.9%
a	169	3.5%
h	165	3.4%
k	163	3.3%
o	162	3.3%
m	19	0.4%
Other values (7)	16	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3583	73.4%
Other Punctuation	1299	26.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	954	26.6%
s	655	18.3%
q	651	18.2%
f	629	17.6%
a	169	4.7%
h	165	4.6%
k	163	4.5%
o	162	4.5%
m	19	0.5%
y	3	0.1%
Other values (6)	13	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1299	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3583	73.4%
Common	1299	26.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	954	26.6%
s	655	18.3%
q	651	18.2%
f	629	17.6%
a	169	4.7%
h	165	4.6%
k	163	4.5%
o	162	4.5%
m	19	0.5%
y	3	0.1%
Other values (6)	13	0.4%

Common

Value	Count	Frequency (%)
.	1299	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4882	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	1299	26.6%
t	954	19.5%
s	655	13.4%
q	651	13.3%
f	629	12.9%
a	169	3.5%
h	165	3.4%
k	163	3.3%
o	162	3.3%
m	19	0.4%
Other values (7)	16	0.3%

city
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	596.1 KiB

kolkata south	3784
kolkata east	2872
kolkata north	1789
kolkata west	240
kolkata central	75

Length

Max length	15
Median length	13
Mean length	12.661872
Min length	12

Characters and Unicode

Total characters	110918
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	kolkata south
2nd row	kolkata south
3rd row	kolkata south
4th row	kolkata south
5th row	kolkata south

Common Values

Value	Count	Frequency (%)
kolkata south	3784	43.2%
kolkata east	2872	32.8%
kolkata north	1789	20.4%
kolkata west	240	2.7%
kolkata central	75	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kolkata	8760	50.0%
south	3784	21.6%
east	2872	16.4%
north	1789	10.2%
west	240	1.4%
central	75	0.4%

Most occurring characters

Value	Count	Frequency (%)
a	20467	18.5%
k	17520	15.8%
t	17520	15.8%
o	14333	12.9%
l	8835	8.0%
	8760	7.9%
s	6896	6.2%
h	5573	5.0%
u	3784	3.4%
e	3187	2.9%
Other values (4)	4043	3.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	102158	92.1%
Space Separator	8760	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	20467	20.0%
k	17520	17.1%
t	17520	17.1%
o	14333	14.0%
l	8835	8.6%
s	6896	6.8%
h	5573	5.5%
u	3784	3.7%
e	3187	3.1%
n	1864	1.8%
Other values (3)	2179	2.1%

Space Separator

Value	Count	Frequency (%)
	8760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102158	92.1%
Common	8760	7.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	20467	20.0%
k	17520	17.1%
t	17520	17.1%
o	14333	14.0%
l	8835	8.6%
s	6896	6.8%
h	5573	5.5%
u	3784	3.7%
e	3187	3.1%
n	1864	1.8%
Other values (3)	2179	2.1%

Common

Value	Count	Frequency (%)
	8760	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	20467	18.5%
k	17520	15.8%
t	17520	15.8%
o	14333	12.9%
l	8835	8.0%
	8760	7.9%
s	6896	6.2%
h	5573	5.0%
u	3784	3.4%
e	3187	2.9%
Other values (4)	4043	3.6%

side
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	496.3 KiB

3	3784
1	2872
2	1789
4	240
0	75

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8760
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	3784	43.2%
1	2872	32.8%
2	1789	20.4%
4	240	2.7%
0	75	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	3784	43.2%
1	2872	32.8%
2	1789	20.4%
4	240	2.7%
0	75	0.9%

Most occurring characters

Value	Count	Frequency (%)
3	3784	43.2%
1	2872	32.8%
2	1789	20.4%
4	240	2.7%
0	75	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8760	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	3784	43.2%
1	2872	32.8%
2	1789	20.4%
4	240	2.7%
0	75	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	8760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	3784	43.2%
1	2872	32.8%
2	1789	20.4%
4	240	2.7%
0	75	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	3784	43.2%
1	2872	32.8%
2	1789	20.4%
4	240	2.7%
0	75	0.9%

lat_long
Text

Distinct	2820
Distinct (%)	32.2%
Missing	0
Missing (%)	0.0%
Memory size	928.5 KiB

Length

Max length	79
Median length	68
Mean length	51.52089
Min length	39

Characters and Unicode

Total characters	451323
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1826 ?
Unique (%)	20.8%

Sample

1st row	{'LATITUDE': '22.364447', 'LONGITUDE': '88.274642'}
2nd row	{'LATITUDE': '22.518795', 'LONGITUDE': '88.388439'}
3rd row	{'LATITUDE': '22.5137646', 'LONGITUDE': '88.3666797'}
4th row	{'LATITUDE': '22.45383', 'LONGITUDE': '88.249572'}
5th row	{'LATITUDE': '22.44213', 'LONGITUDE': '88.29551'}

Value	Count	Frequency (%)
latitude	8760	25.0%
longitude	8760	25.0%
22.6006912	418	1.2%
88.4694535	418	1.2%
88.35469	160	0.5%
22.536025	160	0.5%
88.2978736068	148	0.4%
22.4439029807	148	0.4%
22.5	130	0.4%
88.35	129	0.4%
Other values (5550)	15809	45.1%

Most occurring characters

Value	Count	Frequency (%)
'	70080	15.5%
2	26969	6.0%
8	26712	5.9%
	26280	5.8%
T	26280	5.8%
E	17520	3.9%
L	17520	3.9%
:	17520	3.9%
D	17520	3.9%
U	17520	3.9%
Other values (17)	187402	41.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	148920	33.0%
Decimal Number	144723	32.1%
Other Punctuation	113880	25.2%
Space Separator	26280	5.8%
Open Punctuation	8760	1.9%
Close Punctuation	8760	1.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	26969	18.6%
8	26712	18.5%
4	15299	10.6%
5	12967	9.0%
3	12852	8.9%
6	12584	8.7%
9	10117	7.0%
1	9131	6.3%
7	9090	6.3%
0	9002	6.2%

Uppercase Letter

Value	Count	Frequency (%)
T	26280	17.6%
E	17520	11.8%
L	17520	11.8%
D	17520	11.8%
U	17520	11.8%
I	17520	11.8%
A	8760	5.9%
O	8760	5.9%
G	8760	5.9%
N	8760	5.9%

Other Punctuation

Value	Count	Frequency (%)
'	70080	61.5%
:	17520	15.4%
.	17520	15.4%
,	8760	7.7%

Space Separator

Value	Count	Frequency (%)
	26280	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	8760	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	8760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	302403	67.0%
Latin	148920	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
'	70080	23.2%
2	26969	8.9%
8	26712	8.8%
	26280	8.7%
:	17520	5.8%
.	17520	5.8%
4	15299	5.1%
5	12967	4.3%
3	12852	4.2%
6	12584	4.2%
Other values (7)	63620	21.0%

Latin

Value	Count	Frequency (%)
T	26280	17.6%
E	17520	11.8%
L	17520	11.8%
D	17520	11.8%
U	17520	11.8%
I	17520	11.8%
A	8760	5.9%
O	8760	5.9%
G	8760	5.9%
N	8760	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	451323	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	70080	15.5%
2	26969	6.0%
8	26712	5.9%
	26280	5.8%
T	26280	5.8%
E	17520	3.9%
L	17520	3.9%
:	17520	3.9%
D	17520	3.9%
U	17520	3.9%
Other values (17)	187402	41.5%

latitude
Real number (ℝ)

Distinct	2796
Distinct (%)	31.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.731371

Minimum	0
Maximum	88.491741
Zeros	19
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	22.43993
Q1	22.493013
median	22.568326
Q3	22.617476
95-th percentile	22.72207
Maximum	88.491741
Range	88.491741
Interquartile range (IQR)	0.1244628

Descriptive statistics

Standard deviation	8.9639073
Coefficient of variation (CV)	0.37772396
Kurtosis	47.440935
Mean	23.731371
Median Absolute Deviation (MAD)	0.062158
Skewness	6.9347323
Sum	207886.81
Variance	80.351633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22.6006912	420	4.8%
22.44390298	148	1.7%
22.5	130	1.5%
88.35469	102	1.2%
22.548114	84	1.0%
22.581047	76	0.9%
22.569	74	0.8%
22.4658051	64	0.7%
22.536025	59	0.7%
22.60134	57	0.7%
Other values (2786)	7546	86.1%

Value	Count	Frequency (%)
0	19	0.2%
13.036358	1	< 0.1%
13.06146	1	< 0.1%
20.60288	9	0.1%
21.623056	2	< 0.1%
22.28355	1	< 0.1%
22.3269857	1	< 0.1%
22.350618	1	< 0.1%
22.361331	2	< 0.1%
22.361462	2	< 0.1%

Value	Count	Frequency (%)
88.491741	1	< 0.1%
88.465164	1	< 0.1%
88.4616753	1	< 0.1%
88.450763	13	0.1%
88.439278	1	< 0.1%
88.4054689	1	< 0.1%
88.378133	29	0.3%
88.36087	4	< 0.1%
88.35469	102	1.2%
88.330442	1	< 0.1%

longitude
Real number (ℝ)

Distinct	2766
Distinct (%)	31.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.986636

Minimum	0
Maximum	91.820293
Zeros	19
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	88.293918
Q1	88.360697
median	88.401162
Q3	88.45989
95-th percentile	88.502793
Maximum	91.820293
Range	91.820293
Interquartile range (IQR)	0.099193

Descriptive statistics

Standard deviation	9.7776437
Coefficient of variation (CV)	0.11240398
Kurtosis	45.659213
Mean	86.986636
Median Absolute Deviation (MAD)	0.0511222
Skewness	-6.8451065
Sum	762002.93
Variance	95.602316
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.4694535	420	4.8%
88.29787361	148	1.7%
88.35	129	1.5%
22.536025	102	1.2%
88.4004968	84	1.0%
88.462231	76	0.9%
88.510296	74	0.8%
88.384625	74	0.8%
88.35469	59	0.7%
88.471506	57	0.7%
Other values (2756)	7537	86.0%

Value	Count	Frequency (%)
0	19	0.2%
22.465619	1	< 0.1%
22.48357	1	< 0.1%
22.493402	2	< 0.1%
22.5102343	1	< 0.1%
22.5103	1	< 0.1%
22.511184	1	< 0.1%
22.536025	102	1.2%
22.58802	4	< 0.1%
22.59436	4	< 0.1%

Value	Count	Frequency (%)
91.820293	1	< 0.1%
88.609395	1	< 0.1%
88.538014	1	< 0.1%
88.53401	2	< 0.1%
88.53073024	3	< 0.1%
88.5255283	6	0.1%
88.525052	3	< 0.1%
88.524436	1	< 0.1%
88.523625	5	0.1%
88.522544	45	0.5%

society
Categorical

High correlation Missing

Distinct	5
Distinct (%)	0.1%
Missing	1370
Missing (%)	15.6%
Memory size	518.8 KiB

1.0	2608
2.0	1732
3.0	1324
4.0	1320
5.0	406

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	22170
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	2608	29.8%
2.0	1732	19.8%
3.0	1324	15.1%
4.0	1320	15.1%
5.0	406	4.6%
(Missing)	1370	15.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	2608	35.3%
2.0	1732	23.4%
3.0	1324	17.9%
4.0	1320	17.9%
5.0	406	5.5%

Most occurring characters

Value	Count	Frequency (%)
.	7390	33.3%
0	7390	33.3%
1	2608	11.8%
2	1732	7.8%
3	1324	6.0%
4	1320	6.0%
5	406	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14780	66.7%
Other Punctuation	7390	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7390	50.0%
1	2608	17.6%
2	1732	11.7%
3	1324	9.0%
4	1320	8.9%
5	406	2.7%

Other Punctuation

Value	Count	Frequency (%)
.	7390	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22170	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	7390	33.3%
0	7390	33.3%
1	2608	11.8%
2	1732	7.8%
3	1324	6.0%
4	1320	6.0%
5	406	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	7390	33.3%
0	7390	33.3%
1	2608	11.8%
2	1732	7.8%
3	1324	6.0%
4	1320	6.0%
5	406	1.8%

preference
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	496.3 KiB

2	7026
1	1352
0	382

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8760
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	7026	80.2%
1	1352	15.4%
0	382	4.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	7026	80.2%
1	1352	15.4%
0	382	4.4%

Most occurring characters

Value	Count	Frequency (%)
2	7026	80.2%
1	1352	15.4%
0	382	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8760	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	7026	80.2%
1	1352	15.4%
0	382	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	8760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	7026	80.2%
1	1352	15.4%
0	382	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	7026	80.2%
1	1352	15.4%
0	382	4.4%

type
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	496.3 KiB

2	7518
0	497
3	476
1	269

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8760
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
2	7518	85.8%
0	497	5.7%
3	476	5.4%
1	269	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	7518	85.8%
0	497	5.7%
3	476	5.4%
1	269	3.1%

Most occurring characters

Value	Count	Frequency (%)
2	7518	85.8%
0	497	5.7%
3	476	5.4%
1	269	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8760	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	7518	85.8%
0	497	5.7%
3	476	5.4%
1	269	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	8760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	7518	85.8%
0	497	5.7%
3	476	5.4%
1	269	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	7518	85.8%
0	497	5.7%
3	476	5.4%
1	269	3.1%

AmenityScore
Real number (ℝ)

High correlation Zeros

Distinct	1250
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.44145

Minimum	0
Maximum	161.2
Zeros	2231
Zeros (%)	25.5%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	31.75
Q3	64.05
95-th percentile	122.6
Maximum	161.2
Range	161.2
Interquartile range (IQR)	64.05

Descriptive statistics

Standard deviation	41.089362
Coefficient of variation (CV)	0.96814227
Kurtosis	-0.3696457
Mean	42.44145
Median Absolute Deviation (MAD)	31.75
Skewness	0.80773987
Sum	371787.1
Variance	1688.3356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2231	25.5%
61.5	427	4.9%
23.5	142	1.6%
9.5	122	1.4%
7.4	118	1.3%
7.8	113	1.3%
28.4	99	1.1%
29.8	67	0.8%
37.6	63	0.7%
24.7	62	0.7%
Other values (1240)	5316	60.7%

Value	Count	Frequency (%)
0	2231	25.5%
3.5	13	0.1%
4	6	0.1%
4.2	12	0.1%
5.9	60	0.7%
6.3	1	< 0.1%
7	17	0.2%
7.1	1	< 0.1%
7.3	7	0.1%
7.4	118	1.3%

Value	Count	Frequency (%)
161.2	2	< 0.1%
156.5	2	< 0.1%
153.4	3	< 0.1%
153.3	1	< 0.1%
152	44	0.5%
150.2	1	< 0.1%
148.6	1	< 0.1%
148.2	1	< 0.1%
148	29	0.3%
147.8	1	< 0.1%

Price
Real number (ℝ)

High correlation

Distinct	2166
Distinct (%)	24.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1669192

Minimum	0.00015
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	68.6 KiB

Quantile statistics

Minimum	0.00015
5-th percentile	0.00125
Q1	0.182375
median	0.46
Q3	0.8582
95-th percentile	2.96
Maximum	70
Range	69.99985
Interquartile range (IQR)	0.675825

Descriptive statistics

Standard deviation	4.3881424
Coefficient of variation (CV)	3.7604509
Kurtosis	92.455851
Mean	1.1669192
Median Absolute Deviation (MAD)	0.34
Skewness	9.3381857
Sum	10222.212
Variance	19.255793
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.65	110	1.3%
0.75	106	1.2%
0.0025	90	1.0%
0.85	87	1.0%
0.45	83	0.9%
0.55	77	0.9%
0.8	73	0.8%
0.7	71	0.8%
0.002	71	0.8%
0.42	67	0.8%
Other values (2156)	7925	90.5%

Value	Count	Frequency (%)
0.00015	3	< 0.1%
0.0002	3	< 0.1%
0.00022	3	< 0.1%
0.0002201	1	< 0.1%
0.000245	1	< 0.1%
0.00025	4	< 0.1%
0.00026	1	< 0.1%
0.00027	3	< 0.1%
0.00028	3	< 0.1%
0.00029	1	< 0.1%

Value	Count	Frequency (%)
70	1	< 0.1%
60	1	< 0.1%
50.63	2	< 0.1%
50.485	1	< 0.1%
49.92	3	< 0.1%
49.56	2	< 0.1%
49.165	2	< 0.1%
48.86	4	< 0.1%
48.84	1	< 0.1%
48.15	1	< 0.1%

Interactions

Correlations

	AGE	AREA	AmenityScore	BALCONY_NUM	BEDROOM_NUM	BUILTUP_SQFT	CARPET_SQFT	CITY	FACING	FLOOR_NUM	FURNISH	OWNTYPE	PREFERENCE	PRICE_SQFT	PROPERTY_TYPE	Price	SUPERAREA_UNIT	SUPERBUILTUP_SQFT	SUPER_AREA	TOTAL_FLOOR	TOTAL_LANDMARK_COUNT	TRANSACT_TYPE	city	latitude	longitude	preference	side	society	type
AGE	1.000	-0.041	-0.195	0.335	0.102	0.078	0.056	0.132	-0.267	-0.023	0.443	0.185	0.304	0.221	0.595	0.233	0.097	0.079	-0.066	0.223	-0.166	0.510	0.132	0.035	-0.059	0.304	0.132	0.164	0.595
AREA	-0.041	1.000	0.137	0.000	0.791	0.932	0.902	0.000	-0.021	0.112	0.013	0.000	0.027	0.316	0.051	0.524	0.346	0.999	0.418	0.285	-0.037	0.000	0.000	-0.053	0.077	0.027	0.000	0.000	0.051
AmenityScore	-0.195	0.137	1.000	0.353	0.064	0.130	0.164	0.097	0.501	0.640	0.391	0.088	0.197	-0.039	0.182	-0.014	0.063	0.266	0.055	0.227	0.077	0.470	0.097	0.062	0.103	0.197	0.097	0.165	0.182
BALCONY_NUM	0.335	0.000	0.353	1.000	0.200	0.000	0.000	0.085	0.300	0.265	0.490	0.137	0.165	0.036	0.243	0.093	0.120	0.000	0.000	0.124	0.213	0.548	0.085	0.041	0.041	0.165	0.085	0.115	0.243
BEDROOM_NUM	0.102	0.791	0.064	0.200	1.000	0.795	0.745	0.000	-0.070	0.084	0.046	0.036	0.064	0.347	0.240	0.533	0.171	0.826	0.255	0.249	-0.088	0.021	0.000	-0.026	0.030	0.064	0.000	0.017	0.240
BUILTUP_SQFT	0.078	0.932	0.130	0.000	0.795	1.000	0.980	0.000	0.013	0.236	0.025	0.000	0.094	0.297	0.075	0.502	0.793	0.956	0.470	0.306	0.035	0.026	0.000	-0.054	0.018	0.094	0.000	1.000	0.075
CARPET_SQFT	0.056	0.902	0.164	0.000	0.745	0.980	1.000	0.000	-0.025	0.232	0.013	0.000	0.060	0.219	0.095	0.421	0.480	0.939	0.241	0.339	0.019	0.000	0.000	-0.014	0.131	0.060	0.000	0.000	0.095
CITY	0.132	0.000	0.097	0.085	0.000	0.000	0.000	1.000	0.090	0.077	0.064	0.069	0.113	0.031	0.097	0.068	0.163	0.000	0.000	0.158	0.273	0.089	1.000	0.043	0.057	0.113	1.000	0.148	0.097
FACING	-0.267	-0.021	0.501	0.300	-0.070	0.013	-0.025	0.090	1.000	0.315	0.360	0.069	0.125	-0.167	0.086	-0.156	0.014	-0.042	0.031	-0.143	0.229	0.517	0.090	0.017	-0.018	0.125	0.090	0.091	0.086
FLOOR_NUM	-0.023	0.112	0.640	0.265	0.084	0.236	0.232	0.077	0.315	1.000	0.274	0.089	0.183	0.049	0.185	0.071	1.000	0.367	NaN	0.470	0.029	0.307	0.077	0.071	0.123	0.183	0.077	0.184	0.185
FURNISH	0.443	0.013	0.391	0.490	0.046	0.025	0.013	0.064	0.360	0.274	1.000	0.325	0.411	0.033	0.256	0.090	0.131	0.000	0.000	0.134	0.278	0.660	0.064	0.053	0.052	0.411	0.064	0.137	0.256
OWNTYPE	0.185	0.000	0.088	0.137	0.036	0.000	0.000	0.069	0.069	0.089	0.325	1.000	0.707	0.014	0.128	0.031	0.235	0.000	0.000	0.056	0.126	0.709	0.069	0.016	0.017	0.707	0.069	0.095	0.128
PREFERENCE	0.304	0.027	0.197	0.165	0.064	0.094	0.060	0.113	0.125	0.183	0.411	0.707	1.000	0.005	0.303	0.029	0.168	0.000	0.000	0.150	0.189	0.707	0.113	0.024	0.024	1.000	0.113	0.167	0.303
PRICE_SQFT	0.221	0.316	-0.039	0.036	0.347	0.297	0.219	0.031	-0.167	0.049	0.033	0.014	0.005	1.000	0.103	0.916	0.207	0.374	-0.312	0.352	-0.137	0.021	0.031	-0.059	0.033	0.005	0.031	0.000	0.103
PROPERTY_TYPE	0.595	0.051	0.182	0.243	0.240	0.075	0.095	0.097	0.086	0.185	0.256	0.128	0.303	0.103	1.000	0.053	0.175	0.000	0.000	0.186	0.166	0.185	0.097	0.111	0.111	0.303	0.097	0.114	1.000
Price	0.233	0.524	-0.014	0.093	0.533	0.502	0.421	0.068	-0.156	0.071	0.090	0.031	0.029	0.916	0.053	1.000	0.315	0.553	0.042	0.349	-0.134	0.144	0.068	-0.035	0.061	0.029	0.068	0.046	0.053
SUPERAREA_UNIT	0.097	0.346	0.063	0.120	0.171	0.793	0.480	0.163	0.014	1.000	0.131	0.235	0.168	0.207	0.175	0.315	1.000	NaN	0.000	0.227	0.146	0.166	0.163	0.080	0.080	0.168	0.163	0.136	0.175
SUPERBUILTUP_SQFT	0.079	0.999	0.266	0.000	0.826	0.956	0.939	0.000	-0.042	0.367	0.000	0.000	0.000	0.374	0.000	0.553	NaN	1.000	NaN	0.492	-0.041	0.000	0.000	-0.052	0.086	0.000	0.000	0.000	0.000
SUPER_AREA	-0.066	0.418	0.055	0.000	0.255	0.470	0.241	0.000	0.031	NaN	0.000	0.000	0.000	-0.312	0.000	0.042	0.000	NaN	1.000	-0.082	-0.199	0.000	0.000	-0.241	-0.151	0.000	0.000	0.000	0.000
TOTAL_FLOOR	0.223	0.285	0.227	0.124	0.249	0.306	0.339	0.158	-0.143	0.470	0.134	0.056	0.150	0.352	0.186	0.349	0.227	0.492	-0.082	1.000	-0.389	0.258	0.158	0.077	0.221	0.150	0.158	0.329	0.186
TOTAL_LANDMARK_COUNT	-0.166	-0.037	0.077	0.213	-0.088	0.035	0.019	0.273	0.229	0.029	0.278	0.126	0.189	-0.137	0.166	-0.134	0.146	-0.041	-0.199	-0.389	1.000	0.367	0.273	-0.062	-0.187	0.189	0.273	0.263	0.166
TRANSACT_TYPE	0.510	0.000	0.470	0.548	0.021	0.026	0.000	0.089	0.517	0.307	0.660	0.709	0.707	0.021	0.185	0.144	0.166	0.000	0.000	0.258	0.367	1.000	0.089	0.052	0.053	0.707	0.089	0.190	0.185
city	0.132	0.000	0.097	0.085	0.000	0.000	0.000	1.000	0.090	0.077	0.064	0.069	0.113	0.031	0.097	0.068	0.163	0.000	0.000	0.158	0.273	0.089	1.000	0.043	0.057	0.113	1.000	0.148	0.097
latitude	0.035	-0.053	0.062	0.041	-0.026	-0.054	-0.014	0.043	0.017	0.071	0.053	0.016	0.024	-0.059	0.111	-0.035	0.080	-0.052	-0.241	0.077	-0.062	0.052	0.043	1.000	0.404	0.024	0.043	0.048	0.111
longitude	-0.059	0.077	0.103	0.041	0.030	0.018	0.131	0.057	-0.018	0.123	0.052	0.017	0.024	0.033	0.111	0.061	0.080	0.086	-0.151	0.221	-0.187	0.053	0.057	0.404	1.000	0.024	0.057	0.049	0.111
preference	0.304	0.027	0.197	0.165	0.064	0.094	0.060	0.113	0.125	0.183	0.411	0.707	1.000	0.005	0.303	0.029	0.168	0.000	0.000	0.150	0.189	0.707	0.113	0.024	0.024	1.000	0.113	0.167	0.303
side	0.132	0.000	0.097	0.085	0.000	0.000	0.000	1.000	0.090	0.077	0.064	0.069	0.113	0.031	0.097	0.068	0.163	0.000	0.000	0.158	0.273	0.089	1.000	0.043	0.057	0.113	1.000	0.148	0.097
society	0.164	0.000	0.165	0.115	0.017	1.000	0.000	0.148	0.091	0.184	0.137	0.095	0.167	0.000	0.114	0.046	0.136	0.000	0.000	0.329	0.263	0.190	0.148	0.048	0.049	0.167	0.148	1.000	0.114
type	0.595	0.051	0.182	0.243	0.240	0.075	0.095	0.097	0.086	0.185	0.256	0.128	0.303	0.103	1.000	0.053	0.175	0.000	0.000	0.186	0.166	0.185	0.097	0.111	0.111	0.303	0.097	0.114	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	PROP_ID	PREFERENCE	DESCRIPTION	PROPERTY_TYPE	CITY	TRANSACT_TYPE	OWNTYPE	BEDROOM_NUM	AGE	TOTAL_FLOOR	PROP_NAME	PRICE_SQFT	MAP_DETAILS	AREA	PROP_HEADING	SECONDARY_TAGS	TOTAL_LANDMARK_COUNT	FORMATTED_LANDMARK_DETAILS	SOCIETY_NAME	BUILDING_NAME	location	FLOOR_NUM	CARPET_SQFT	SUPERBUILTUP_SQFT	BUILTUP_SQFT	SUPER_AREA	SUPERAREA_UNIT	city	side	lat_long	latitude	longitude	society	preference	type	Price
0	Y71306776	S	Book your 2 BHK flat in Srijan Star Swapno Puron, Amtala , Kolkata South. Having a super built-up area of 518.0 sq. ft. - 623.0 sq. ft., these flats promise an exclusive view and refreshing vibes, making them well ventilated.\n\nIt is a superbly design project set amidst excellent surroundings and offers residents a world-class infrastructure. Look at its range of general amenities to premium amenities that include Car Parking, Cafeteria, 24/7 Power Backup, Senior Citizen Sitout, Carrom and what not. Now, you can buy this exclusive 2 BHK flat at a price range of Rs. 19.1 Lac - Rs. 22.67 Lac.	Residential Apartment	Kolkata South	2.0	1	2.0	5	3.0	Srijan Star Swapno Puron	3662.0	{'LATITUDE': '22.364447', 'LONGITUDE': '88.274642'}	570.5	2 BHK Flat in Amtala	['UNDER CONSTRUCTION', 'NEW BOOKING', 'RERA \| HIRA']	2.0	[{'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]	Srijan Star Swapno Puron	Srijan Star Swapno Puron	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '8005', 'LOCALITY_NAME': 'Amtala ', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.364447', 'LONGITUDE': '88.274642'}	22.364447	88.274642	2.0	2	2	0.19100
1	B70113976	S	Make Natural Quest your next home. This project offers 3 BHK flats in EM Bypass, Kolkata South. With a built-up area ranging from 1110.0 sq. ft. to 1121.0 sq. ft., these flats combine the finest design and amenities in Kolkata South to provide a living experience unlike any other.\n\nIt is a new launch project and is unique in its perfect harmony of classic form and modern construction. The features and the amenities like Car Parking, Paved Compound, CCTV Camera Security, Pergola, Reflexology Park and many more make this residential project an epitome of modern living. Further, the society is well connected with all means of public transport. The flats are available at a price range of Rs. 1.17 Crore to Rs. 1.18 Crore.	Residential Apartment	Kolkata South	2.0	1	3.0	5	11.0	Natural Quest	10500.0	{'LATITUDE': '22.518795', 'LONGITUDE': '88.388439'}	1115.5	3 BHK Flat in EM Bypass	['UNDER CONSTRUCTION', 'NEW LAUNCH', 'NEW BOOKING', 'RERA \| HIRA']	9.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '2 Shoppings', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '2 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}]	Natural Quest	Natural Quest	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '603', 'LOCALITY_NAME': 'EM Bypass', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.518795', 'LONGITUDE': '88.388439'}	22.518795	88.388439	1.0	2	2	1.17500
2	O70374510	S	Book your 3 BHK apartment in Garia, Kolkata South at a price ranging from Rs. 1.22 Crore to Rs. 1.35 Crore. The Ganguly 4Sight Eminence hosts exclusively designed towers, each presenting an epitome of class and simplicity.\n\nThe residential apartments have a super built-up area of 1376.0 sq. ft. to 1516.0 sq. ft. and are a new launch. With an impressive layout and a comprehensive range of amenities, like , etc., the Ganguly 4Sight Eminence leaves no stone unturned to amaze.	Residential Apartment	Kolkata South	2.0	1	3.0	5	20.0	Ganguly 4Sight Eminence	8900.0	{'LATITUDE': '22.5137646', 'LONGITUDE': '88.3666797'}	1446.0	3 BHK Flat in Garia	['UNDER CONSTRUCTION', 'NEW LAUNCH', 'NEW BOOKING', 'RERA \| HIRA']	6.0	[{'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}]	Ganguly 4Sight Eminence	Ganguly 4Sight Eminence	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '651', 'LOCALITY_NAME': 'Garia', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.5137646', 'LONGITUDE': '88.3666797'}	22.513765	88.366680	1.0	2	2	1.28500
3	Q69170182	S	Dev bhumi in joka, kolkata south by ocean land developer is a residential project. \n \nDev bhumi price ranges from 1.49 cr to 5.99 cr. \n \nIt also offers car parking. \n \nThe project is spread over a total area of 2 acres of land. It has 50% of open space. \nAn accommodation of 500 units has been provided. \n \n \nDev bhumi brochure is also available for easy reference. \n \nAbout city: \n \nKolkata, the city of joy has a realty market scenario like no other. The addition of emerging townships in the city has affected the residential real estate market hugely. Along with this, the developing infrastructure, presence of large industries, well connectivity between major micro markets and a stable economy of the state has helped kolkata create a positive feel throughout.	Residential Land	Kolkata South	2.0	1	NaN	0	0.0	Dev Bhumi	208.0	{'LATITUDE': '22.45383', 'LONGITUDE': '88.249572'}	1800.0	Residential land / Plot in Joka	['READY TO MOVE', 'NEW BOOKING']	13.0	[{'category': 'MetroStation', 'text': '2 Metro Stations', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Connectivity', 'text': '1 Connectivity', 'className': 'hw', 'icon': 'https://static.99acres.com/universalapp/img/hw.png'}, {'category': 'Education', 'text': '6 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '4 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]	Dev Bhumi	Dev Bhumi	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '844', 'LOCALITY_NAME': 'Joka', 'ADDRESS': None}	0.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.45383', 'LONGITUDE': '88.249572'}	22.453830	88.249572	2.0	2	3	0.03745
4	F69917588	S	Let your dream of owning a flat come true with DTC Sojon. It offers an exclusive range of 3 BHK flats in Joka, Kolkata South. They are available at price of Rs. 60 Lac - Rs. 75 Lac and have a super built-up area of 1130.0 sq. ft. to 1460.0 sq. ft.\n\nThe project is a secured gated community that further has 24x7 security systems. It has round the clock power back up as well as features many more attractive facilities with a host of amenities like Senior Citizen Sitout, CCTV Camera Security, 24/7 Water Supply, Toddler Pool, Reflexology Park, etc.	Residential Apartment	Kolkata South	2.0	1	3.0	5	19.0	DTC Sojon	5215.0	{'LATITUDE': '22.44213', 'LONGITUDE': '88.29551'}	1295.0	3 BHK Flat in Joka	['UNDER CONSTRUCTION', 'NEW BOOKING']	11.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Connectivity', 'text': '1 Connectivity', 'className': 'hw', 'icon': 'https://static.99acres.com/universalapp/img/hw.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}, {'category': 'Hotel', 'text': '1 Hotels', 'className': 'htl', 'icon': 'https://static.99acres.com/universalapp/img/htl.png'}, {'category': 'GolfCourse', 'text': '1 Golf Course', 'className': 'golf', 'icon': 'https://static.99acres.com/universalapp/img/golf.png'}, {'category': 'Stadium', 'text': '1 Stadium', 'className': 'stdm', 'icon': 'https://static.99acres.com/universalapp/img/stdm.png'}]	DTC Sojon	DTC Sojon	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '844', 'LOCALITY_NAME': 'Joka', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.44213', 'LONGITUDE': '88.29551'}	22.442130	88.295510	3.0	2	2	0.67500
5	Y69917586	S	DTC Sojon offers 2 BHK apartments in Joka, Kolkata South, at an affordable price range of Rs. 45 Lac to Rs. 49 Lac.\n\nThese are an under construction apartments spreading across a super built-up area of 880.0 sq. ft. - 960.0 sq. ft. There are a total of 11 towers in the project. The project offers inclusion of essential amenities like Cricket Pitch, Carrom, Gated Community, Gymnasium, Senior Citizen Sitout, etc. Its aesthetics too is tastefully done to suit to your urbane living needs and promises to offer an easy living within budget.	Residential Apartment	Kolkata South	2.0	1	2.0	5	19.0	DTC Sojon	5108.0	{'LATITUDE': '22.44213', 'LONGITUDE': '88.29551'}	920.0	2 BHK Flat in Joka	['UNDER CONSTRUCTION', 'NEW BOOKING']	11.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Connectivity', 'text': '1 Connectivity', 'className': 'hw', 'icon': 'https://static.99acres.com/universalapp/img/hw.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}, {'category': 'Hotel', 'text': '1 Hotels', 'className': 'htl', 'icon': 'https://static.99acres.com/universalapp/img/htl.png'}, {'category': 'GolfCourse', 'text': '1 Golf Course', 'className': 'golf', 'icon': 'https://static.99acres.com/universalapp/img/golf.png'}, {'category': 'Stadium', 'text': '1 Stadium', 'className': 'stdm', 'icon': 'https://static.99acres.com/universalapp/img/stdm.png'}]	DTC Sojon	DTC Sojon	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '844', 'LOCALITY_NAME': 'Joka', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.44213', 'LONGITUDE': '88.29551'}	22.442130	88.295510	3.0	2	2	0.47000
6	G68329262	S	Make The Signature your next home. This project offers 3 BHK flats in New Alipore, Kolkata South. With a super built-up area ranging from 1289.0 sq. ft. to 1422.0 sq. ft., these flats combine the finest design and amenities in Kolkata South to provide a living experience unlike any other.\n\nIt is a ready to move project and is unique in its perfect harmony of classic form and modern construction. The features and the amenities like Gymnasium, Gated Community, Children's Play Area, 24/7 Water Supply, Party Lawn and many more make this residential project an epitome of modern living. Further, the society is well connected with all means of public transport. The flats are available at a price range of Rs. 90.85 Lac to Rs. 1 Crore.	Residential Apartment	Kolkata South	2.0	1	3.0	5	11.0	The Signature	7048.0	{'LATITUDE': '22.499927', 'LONGITUDE': '88.32487'}	1355.5	3 BHK Flat in New Alipore	['UNDER CONSTRUCTION', 'NEW BOOKING', 'RERA \| HIRA']	48.0	[{'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'ReligiousPlace', 'text': '6 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '4 ATMs', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '19 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Pharmacy', 'text': '2 Pharmacys', 'className': 'phmcy', 'icon': 'https://static.99acres.com/universalapp/img/phmcy.png'}, {'category': 'BusDepot', 'text': '1 Bus Depot', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}]	The Signature	The Signature	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '1465', 'LOCALITY_NAME': 'New Alipore', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.499927', 'LONGITUDE': '88.32487'}	22.499927	88.324870	1.0	2	2	0.90850
7	J71214794	S	Experience a new style of living with Bhawani Bandhan. It offers an exclusive range of 2 BHK apartments in Madhyamgram, Kolkata North. Here is a steal deal for you. Book your 2 BHK apartment here at a never before price of Rs. 39 Lac. The unit has a super built-up area of 920.0 sq. ft. \n\nThis is an under construction project. It has been designed keeping every small to large needs of residents in consideration. Plus, a comprehensive range of amenities including Indoor Games, Card Room, Gymnasium, Lift(s), Banquet Hall, etc. make it one of the most desirable residential projects in Kolkata North.	Residential Apartment	Kolkata North	2.0	1	2.0	5	11.0	Bhawani Bandhan	4239.0	{'LATITUDE': '22.690003', 'LONGITUDE': '88.45908'}	920.0	2 BHK Flat in Madhyamgram	['UNDER CONSTRUCTION', 'NEW BOOKING', 'RERA \| HIRA']	27.0	[{'category': 'ReligiousPlace', 'text': '5 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'Hospital', 'text': '15 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Attraction', 'text': '1 Attraction', 'className': 'cultrl', 'icon': 'https://static.99acres.com/universalapp/img/cultrl.png'}, {'category': 'BusDepot', 'text': '1 Bus Depot', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}]	Bhawani Bandhan	Bhawani Bandhan	{'CITY': '26', 'CITY_NAME': 'Kolkata North', 'LOCALITY_ID': '528', 'LOCALITY_NAME': 'Madhyamgram', 'ADDRESS': None}	1.0	NaN	920.0	NaN	NaN	NaN	kolkata north	2	{'LATITUDE': '22.690003', 'LONGITUDE': '88.45908'}	22.690003	88.459080	2.0	2	2	0.39000
8	K71064488	S	Symphony Proxima is a new launch project, offering 3 BHK flats in Kamalgazi, Kolkata South. These flats have a super built-up area in the range of 1120.0 sq. ft. to 1280.0 sq. ft. and are available at an economical price of Rs. 52.64 Lac - Rs. 60.16 Lac.\n\nIt is well connected to the city areas and features a large number of amenities to fit your needs. It is equipped with highlights such as Banquet Hall, Yoga/Meditation Area, Gymnasium, Children's Play Area, Senior Citizen Sitout, etc. that make it one of the most sought after neighborhoods.	Residential Apartment	Kolkata South	2.0	1	3.0	5	5.0	Symphony Proxima	4700.0	{'LATITUDE': '22.44497560154', 'LONGITUDE': '88.390239965808'}	1200.0	3 BHK Flat in Kamalgazi	['UNDER CONSTRUCTION', 'NEW LAUNCH', 'NEW BOOKING', 'RERA \| HIRA']	7.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}]	Symphony Proxima	Symphony Proxima	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '6849', 'LOCALITY_NAME': 'Kamalgazi', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.44497560154', 'LONGITUDE': '88.390239965808'}	22.444976	88.390240	1.0	2	2	0.56400
9	Q71064486	S	This well-known project offers 2 BHK apartments in Kamalgazi, Kolkata South. With a super built-up area, ranging from 885.0 sq. ft. to 890.0 sq. ft., the apartments are available at an economical price range of Rs. 41.59 Lac to Rs. 41.83 Lac.\n\nThere are 3 towers. A close attention has been paid to each detail for a comfortable living. It has Gymnasium, Banquet Hall, 24/7 Power Backup, Indoor Games, CCTV Camera Security, etc. Loaded with all the modern amenities, the project is certainly a steal deal.	Residential Apartment	Kolkata South	2.0	1	2.0	5	5.0	Symphony Proxima	4700.0	{'LATITUDE': '22.44497560154', 'LONGITUDE': '88.390239965808'}	887.5	2 BHK Flat in Kamalgazi	['UNDER CONSTRUCTION', 'NEW LAUNCH', 'NEW BOOKING', 'RERA \| HIRA']	7.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}]	Symphony Proxima	Symphony Proxima	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '6849', 'LOCALITY_NAME': 'Kamalgazi', 'ADDRESS': None}	1.0	NaN	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.44497560154', 'LONGITUDE': '88.390239965808'}	22.444976	88.390240	1.0	2	2	0.41715

	PROP_ID	PREFERENCE	DESCRIPTION	PROPERTY_TYPE	CITY	TRANSACT_TYPE	OWNTYPE	BEDROOM_NUM	FURNISH	FACING	AGE	TOTAL_FLOOR	FEATURES	PROP_NAME	PRICE_SQFT	MAP_DETAILS	AMENITIES	AREA	PROP_HEADING	SECONDARY_TAGS	TOTAL_LANDMARK_COUNT	FORMATTED_LANDMARK_DETAILS	SOCIETY_NAME	BUILDING_NAME	location	BALCONY_NUM	FLOOR_NUM	CARPET_SQFT	SUPERBUILTUP_SQFT	BUILTUP_SQFT	SUPER_AREA	SUPERAREA_UNIT	city	side	lat_long	latitude	longitude	society	preference	type	AmenityScore	Price
8750	I63225872	S	This 4 bhk flat is available for sale in urbana, one of the most prominent projects for residential apartments in em bypass, kolkata south. The floor plan additionally contains 5 bathrooms and 1 balcony. All in all, the apartment is spread over an 3528 sq.Ft.. The apartment building has a total of 45 floors and this property is situated on 10th floor. As the project is already ready to move, so you can easily move into this 1-5 year(s) old property.	Residential Apartment	Kolkata South	1.0	1	4.0	4	5	1	45.0	23,24,5,17,6,19,20,21	Urbana	15022.0	{'LATITUDE': '22.548114', 'LONGITUDE': '88.4004968'}	5,17,20,21,23,24,6,19	3528.0	4 BHK Flat in EM Bypass	['READY TO MOVE', 'RESALE', 'RERA \| HIRA']	15.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'Education', 'text': '2 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'ReligiousPlace', 'text': '1 Religious Place', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '1 ATM', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Airport', 'text': '1 Airport', 'className': 'aprt', 'icon': 'https://static.99acres.com/universalapp/img/aprt.png'}, {'category': 'Bank', 'text': '1 Banks', 'className': 'bnk', 'icon': 'https://static.99acres.com/universalapp/img/bnk.png'}, {'category': 'Park', 'text': '1 Park', 'className': 'prk', 'icon': 'https://static.99acres.com/universalapp/img/prk.png'}, {'category': 'BusStop', 'text': '1 Bus Stop', 'className': 'bus', 'icon': 'https://static.99acres.com/universalapp/img/bus.png'}, {'category': 'RailwayStation', 'text': '1 Railway Station', 'className': 'rail', 'icon': 'https://static.99acres.com/universalapp/img/rail.png'}, {'category': 'Miscellaneous', 'text': '4 Miscellaneouss', 'className': 'oldhme', 'icon': 'https://static.99acres.com/universalapp/img/oldhme.png'}]	Urbana	Urbana	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '603', 'LOCALITY_NAME': 'EM Bypass', 'ADDRESS': None}	1.0	10.0	NaN	3528.0	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.548114', 'LONGITUDE': '88.4004968'}	22.548114	88.400497	5.0	2	2	61.5	5.3000
8751	G61003098	R	A very good 2 bhk flat for rent in , kolkata south. It is a superb property and offers an excellent view. The flat is furnished with multiple amenities and promises a comfortable stay. It has a super built-Up area of 1220 sq.Ft. Covered parking.	Residential Apartment	Kolkata South	0.0	0	2.0	1	3	3	15.0	23,5,17,6,20,21	South City Garden	26.0	{'LATITUDE': '22.4972', 'LONGITUDE': '88.338401'}	5,17,20,21,23,6,103	1220.0	2 BHK Flat in Tara Park	['FURNISHED', 'FOR SINGLE MEN', 'FOR SINGLE WOMEN']	50.0	[{'category': 'MetroStation', 'text': '3 Metro Stations', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'ReligiousPlace', 'text': '2 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '5 ATMs', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '24 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'BusDepot', 'text': '1 Bus Depot', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}]	South City Garden	South City Garden	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '32123', 'LOCALITY_NAME': 'Tara Park', 'ADDRESS': None}	1.0	8.0	NaN	1220.0	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.4972', 'LONGITUDE': '88.338401'}	22.497200	88.338401	3.0	1	2	46.7	0.0032
8752	E64737128	S	This beautiful 3 bhk flat in new alipore, kolkata south is situated in privet, one of the popular residential society in kolkata south. The flat occupies a super built up area of 2000 sq.Ft. That consists of 3 bedrooms, 3 bathrooms and 1 balcony. The property is located on the 2nd floor of a 5 floor tall building. An added advantage of this 10+ year(s) old flat is that it is available for immediate possession as the project is already ready to move.	Residential Apartment	Kolkata South	1.0	1	3.0	4	7	3	5.0	23,6,19,20,21	privet	9000.0	{'LATITUDE': '22.5143577', 'LONGITUDE': '88.3251456'}	20,21,23,6,19,103	2000.0	3 BHK Flat in New Alipore	['READY TO MOVE', 'RESALE']	49.0	[{'category': 'Shopping', 'text': '1 Shopping', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'ReligiousPlace', 'text': '5 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '5 ATMs', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '21 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Pharmacy', 'text': '1 Pharmacy', 'className': 'phmcy', 'icon': 'https://static.99acres.com/universalapp/img/phmcy.png'}, {'category': 'BusDepot', 'text': '1 Bus Depot', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}, {'category': 'Miscellaneous', 'text': '1 Miscellaneous', 'className': 'oldhme', 'icon': 'https://static.99acres.com/universalapp/img/oldhme.png'}]	privet	privet	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '1465', 'LOCALITY_NAME': 'New Alipore', 'ADDRESS': 'Block G'}	1.0	2.0	NaN	2000.0	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.5143577', 'LONGITUDE': '88.3251456'}	22.514358	88.325146	1.0	2	2	39.7	1.8000
8753	V49700968	R	Bansdroni.3 min walking distance from master da surya sen metro station.Its complex.24 hrs secury,boring,cctv,gym,comunity hall all facility here..4 min walking distance from bansdroni super market,bank, school all near by..	Residential Apartment	Kolkata South	0.0	0	2.0	2	6	1	4.0	5,21,6,23,19,12,9	Central Enclave	18.0	{'LATITUDE': '22.500366', 'LONGITUDE': '88.349671'}	5,21,6,23,19,9,12,101	950.0	2 BHK Flat in Naktala	['FOR SINGLE MEN', 'FOR SINGLE WOMEN']	50.0	[{'category': 'MetroStation', 'text': '2 Metro Stations', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'ReligiousPlace', 'text': '2 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '1 ATM', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '25 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]	Central Enclave	Central Enclave	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '1451', 'LOCALITY_NAME': 'Naktala', 'ADDRESS': None}	1.0	3.0	750.0	950.0	800.0	NaN	NaN	kolkata south	3	{'LATITUDE': '22.500366', 'LONGITUDE': '88.349671'}	22.500366	88.349671	1.0	1	2	56.6	0.0018
8754	M61561978	R	An excellent 2 bhk residential apartment for rent in lake gardens, kolkata south. It is a very good property and has 1 balcony(s) which make the apartment more spacious. It is . We are looking for rs. 22000.00. It is on the 2nd floor . Open parking. Covered parking.	Residential Apartment	Kolkata South	0.0	0	2.0	1	7	2	4.0	17	Apartment	25.0	{'LATITUDE': '22.5050813878', 'LONGITUDE': '88.3544763969'}	17,103	850.0	2 BHK Flat in Lake Gardens	['FURNISHED', 'FOR SINGLE MEN', 'FOR SINGLE WOMEN']	50.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'ReligiousPlace', 'text': '2 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '1 ATM', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '24 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]	Apartment	Apartment	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '1445', 'LOCALITY_NAME': 'Lake Gardens', 'ADDRESS': None}	1.0	2.0	NaN	850.0	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.5050813878', 'LONGITUDE': '88.3544763969'}	22.505081	88.354476	3.0	1	2	8.1	0.0022
8755	J66826540	S	Ambuja upohar the condoville is one of the most popular destination for buying apartments/ flats in chak garia, kolkata south. You too can be a part of this society by purchasing this 3 bhk flat here. The floor plan additionally contains 3 bedroom(s), 2 bathrooms and 2 balconies. All in all, the flat is spread over a super built up area of 1843 sq.Ft. The flat has a total of 19 floors and this property is situated on 14th floor. Being a ready to move project, you can expect immediate possession of this 5-10 years old property.	Residential Apartment	Kolkata South	1.0	1	3.0	4	7	2	19.0	23,24,5,17,6,19,20,21	Ambuja Upohar The Condoville	8410.0	{'LATITUDE': '22.485966', 'LONGITUDE': '88.396453'}	5,17,20,21,23,24,6,19	1843.0	3 BHK Flat in Chak Garia	['READY TO MOVE', 'RESALE']	49.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'ReligiousPlace', 'text': '14 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '3 ATMs', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '13 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Pharmacy', 'text': '1 Pharmacy', 'className': 'phmcy', 'icon': 'https://static.99acres.com/universalapp/img/phmcy.png'}, {'category': 'BusDepot', 'text': '1 Bus Depot', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}, {'category': 'Miscellaneous', 'text': '1 Miscellaneous', 'className': 'oldhme', 'icon': 'https://static.99acres.com/universalapp/img/oldhme.png'}, {'category': 'Library', 'text': '1 Library', 'className': 'lib', 'icon': 'https://static.99acres.com/universalapp/img/lib.png'}]	Ambuja Upohar The Condoville	Ambuja Upohar The Condoville	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '32163', 'LOCALITY_NAME': 'Chak Garia', 'ADDRESS': None}	2.0	14.0	NaN	1843.0	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.485966', 'LONGITUDE': '88.396453'}	22.485966	88.396453	3.0	2	2	61.5	1.5500
8756	E66826562	S	Looking for a 3 bhk property for sale in kolkata south? Buy this 3 bhk flat in ambuja upohar the condoville that is situated in chak garia, kolkata south. The floor plan additionally contains 3 bedroom(s), 3 bathrooms and 2 balconies. All in all, the flat is spread over a super built up area of 2079 sq.Ft. The property is located on the 10th floor of a 19 floors tall building. As the project is already ready to move, so you can easily move into this 5-10 years old property.	Residential Apartment	Kolkata South	1.0	1	3.0	4	7	2	19.0	23,24,5,17,6,19,20,21	Ambuja Upohar The Condoville	8417.0	{'LATITUDE': '22.485966', 'LONGITUDE': '88.396453'}	5,17,20,21,23,24,6,19	2079.0	3 BHK Flat in Chak Garia	['READY TO MOVE', 'RESALE']	49.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'ReligiousPlace', 'text': '14 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '3 ATMs', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '13 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Pharmacy', 'text': '1 Pharmacy', 'className': 'phmcy', 'icon': 'https://static.99acres.com/universalapp/img/phmcy.png'}, {'category': 'BusDepot', 'text': '1 Bus Depot', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}, {'category': 'Miscellaneous', 'text': '1 Miscellaneous', 'className': 'oldhme', 'icon': 'https://static.99acres.com/universalapp/img/oldhme.png'}, {'category': 'Library', 'text': '1 Library', 'className': 'lib', 'icon': 'https://static.99acres.com/universalapp/img/lib.png'}]	Ambuja Upohar The Condoville	Ambuja Upohar The Condoville	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '32163', 'LOCALITY_NAME': 'Chak Garia', 'ADDRESS': None}	2.0	10.0	NaN	2079.0	1875.0	NaN	NaN	kolkata south	3	{'LATITUDE': '22.485966', 'LONGITUDE': '88.396453'}	22.485966	88.396453	3.0	2	2	61.5	1.7500
8757	J71210104	S	It is a standard 2 bhk with 2 room, 2 bath, 1 big balcony, east garden swimming pool facing flat on lower floor, 1 basement parking, ready to move property for immediate sell.	Residential Apartment	Kolkata East	1.0	1	2.0	2	3	2	17.0	33,23,12,24,47,25,26,17,39,29,19,1,3,5,6,9,40,41,20,31,21,32	DLF New Town Heights	5887.0	{'LATITUDE': '22.6006912', 'LONGITUDE': '88.4694535'}	17,5,20,21,32,23,24,47,39,29,19,1,6,9,40,41,33,12,25,26,3,31,101,102	1257.0	2 BHK Flat in New Town	['READY TO MOVE', 'RESALE']	35.0	[{'category': 'ReligiousPlace', 'text': '2 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '3 ATMs', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '5 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'OfficeComplex', 'text': '4 Office Complexes', 'className': 'ofce', 'icon': 'https://static.99acres.com/universalapp/img/ofce.png'}, {'category': 'Parking', 'text': '1 Parking', 'className': 'prkng', 'icon': 'https://static.99acres.com/universalapp/img/prkng.png'}, {'category': 'BusDepot', 'text': '2 Bus Depots', 'className': 'busdpt', 'icon': 'https://static.99acres.com/universalapp/img/busdpt.png'}, {'category': 'Miscellaneous', 'text': '1 Miscellaneous', 'className': 'oldhme', 'icon': 'https://static.99acres.com/universalapp/img/oldhme.png'}]	DLF New Town Heights	DLF New Town Heights	{'CITY': '28', 'CITY_NAME': 'Kolkata East', 'LOCALITY_ID': '1503', 'LOCALITY_NAME': 'New Town', 'ADDRESS': None}	1.0	3.0	900.0	1257.0	1050.0	NaN	NaN	kolkata east	1	{'LATITUDE': '22.6006912', 'LONGITUDE': '88.4694535'}	22.600691	88.469454	4.0	2	2	130.5	0.7400
8758	I41581465	R	A very good 3 bhk flat for rent in south city, prince anwar shah rd, kolkata south. It is a superb property and offers an excellent view. The flat is furnished with multiple amenities and promises a comfortable stay. It is feng shui/vaastu compliant, which is considered to bring positive energy. Indeed, the society too has multiple facilities for enjoyment, such as club house/community center, fitness centre/gym and swimming pool etc. It has a super built-Up area of 1458 sq. Ft. Other facilities include lift(S), park, visitor parking, water storage, intercom facility and security/fire alarm etc. It also has vitrified flooring. South-East facing. 1 covered parking. Full power back up.	Residential Apartment	Kolkata South	0.0	0	3.0	1	7	1	35.0	3,12,21,1,6,23,19,24,5,20,17	South City	37.0	{'LATITUDE': '22.499905', 'LONGITUDE': '88.360697'}	21,5,20,17,1,6,23,19,24,3,12,103	1458.0	3 BHK Flat in Prince Anwar Shah Rd	['FURNISHED', 'FOR SINGLE MEN', 'FOR SINGLE WOMEN']	15.0	[{'category': 'Shopping', 'text': '2 Shoppings', 'className': 'shpng', 'icon': 'https://static.99acres.com/universalapp/img/shpng.png'}, {'category': 'Education', 'text': '5 Educations', 'className': 'schl', 'icon': 'https://static.99acres.com/universalapp/img/schl.png'}, {'category': 'ATM', 'text': '1 ATM', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '1 Hospital', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}, {'category': 'Bank', 'text': '2 Bankss', 'className': 'bnk', 'icon': 'https://static.99acres.com/universalapp/img/bnk.png'}, {'category': 'Park', 'text': '1 Park', 'className': 'prk', 'icon': 'https://static.99acres.com/universalapp/img/prk.png'}, {'category': 'Miscellaneous', 'text': '3 Miscellaneouss', 'className': 'oldhme', 'icon': 'https://static.99acres.com/universalapp/img/oldhme.png'}]	South City	South City	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '4316', 'LOCALITY_NAME': 'Prince Anwar Shah Rd', 'ADDRESS': 'Pince Anwar Shah Road'}	1.0	24.0	NaN	1458.0	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.499905', 'LONGITUDE': '88.360697'}	22.499905	88.360697	4.0	1	2	88.2	0.0055
8759	E67621228	R	Explore this amicable adhunika chs of lake gardens in kolkata south ! Live in a 2 bhk flat for rent in lake gardens. Property has 800 sq.Ft. Carpet area with 2 bathrooms & 1 balcony attached. The flat is built on 800 sq.Ft. Area. Ease of access to 1 open parking within society. This flat is situated at 2nd in a tower with 3 floors. This is a 10+ years old society. This is a furnished flat. Furnishing options provided - 1 ac, 1 chimney, 1 curtains, 1 dining table, 1 exhaust fan, 2 fan, 1 geyser, 3 light, 1 modular kitchen, 1 fridge, 1 sofa, 1 stove, 1 study table, 1 tv, 2 wardrobe, 1 washing machine and 1 water purifier. Property will be leased from tue, 28 feb 2023 to families, single men and single women only with a notice of 1 month. Expected rent for this property is 25,000 monthly. Electricity & water charges to be paid by tenant on monthly basis to authorities. A one-Time payment of 75000 is required by the owner as a security deposit.	Residential Apartment	Kolkata South	0.0	0	2.0	1	3	3	3.0	23,19	Adhunika CHS	31.0	{'LATITUDE': '22.5050813878', 'LONGITUDE': '88.3544763969'}	23,19,103	800.0	2 BHK Flat in Lake Gardens	['FURNISHED', 'FOR SINGLE MEN', 'FOR SINGLE WOMEN']	50.0	[{'category': 'MetroStation', 'text': '1 Metro Station', 'className': 'mstn', 'icon': 'https://static.99acres.com/universalapp/img/mstn.png'}, {'category': 'ReligiousPlace', 'text': '2 Religious Places', 'className': 'rlgs', 'icon': 'https://static.99acres.com/universalapp/img/rlgs.png'}, {'category': 'ATM', 'text': '1 ATM', 'className': 'atm', 'icon': 'https://static.99acres.com/universalapp/img/atm_blue.png'}, {'category': 'Hospital', 'text': '24 Hospitals', 'className': 'hsptl', 'icon': 'https://static.99acres.com/universalapp/img/hsptl.png'}]	Adhunika CHS	Adhunika CHS	{'CITY': '27', 'CITY_NAME': 'Kolkata South', 'LOCALITY_ID': '1445', 'LOCALITY_NAME': 'Lake Gardens', 'ADDRESS': None}	1.0	2.0	800.0	NaN	NaN	NaN	NaN	kolkata south	3	{'LATITUDE': '22.5050813878', 'LONGITUDE': '88.3544763969'}	22.505081	88.354476	1.0	1	2	14.4	0.0025

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